About Us:At Notion, we empower individuals and teams to create stunning productivity tools tailored to their unique workflows. In a digital landscape crowded with applications and tabs, our platform unifies documents, notes, projects, calendars, and emails—all enhanced with AI capabilities to streamline tasks and provide quick insights. Trusted by millions, including industry leaders like Toyota, Figma, and OpenAI, Notion is chosen for its versatility, helping users optimize their time and resources.We believe in the value of in-person collaboration, making it a cornerstone of our company culture. To foster teamwork, all employees are required to work from our San Francisco office on Mondays, Tuesdays, and Thursdays—our designated Anchor Days. Certain roles may necessitate additional in-office presence.About The Role:As our company expands at an impressive pace, we are on the lookout for skilled Data Engineers to join our finance team. In this role, you will be instrumental in constructing robust datasets and data pipelines that underpin our financial reporting. Your work will bridge our product, financial, and operational systems, creating reliable processes that drive our growth. If you have a passion for data analytics, complex modeling, and innovative problem-solving, we would love to have you on board.What You'll Achieve:Develop essential datasets that act as the definitive sources for Notion’s financial reporting, integrating information from financial systems, business databases, and our product.Collaborate closely with our Finance, Monetization Engineering, Business Intelligence, and Data Science teams to address critical financial analysis and reporting requirements.Design, construct, and oversee data pipelines that not only meet current demands but are also scalable as our data needs grow.Facilitate widespread access to high-quality financial data across the Finance, Staff, and go-to-market teams.Skills You'll Need to Bring:A minimum of 4 years of experience as a data engineer, focusing on building core datasets and supporting various business sectors, particularly in product and high-volume data environments. A strong enthusiasm for analytics use cases, data modeling, and tackling intricate data challenges is essential.Experience in creating integrations and reporting datasets for payment, financial, and business systems such as Stripe, NetSuite, Adaptive, Anaplan, Salesforce, or equivalent.A proactive mindset, with the ability to gather and synthesize high-impact needs from business partners, designing and implementing suitable technical solutions.

Join parafin as a Finance Data Lead, where you will play a pivotal role in shaping data strategies that drive financial decision-making. You will collaborate with cross-functional teams to enhance data accuracy, integrity, and accessibility, ensuring our financial models are grounded in reliable data.Your expertise will guide the implementation of data analytics tools and methodologies, helping us to extract valuable insights from our financial datasets. If you are passionate about data management and thrive in a fast-paced environment, this is the opportunity for you!

Join Our Innovative Applied AI LabAt cognition, we are at the forefront of applied AI, creating cutting-edge software agents. Our flagship products, Devin, the pioneering AI software engineer, and Windsurf, the AI-native integrated development environment (IDE), embody our vision of collaborative AI that empowers engineers to tackle complex challenges and pursue ambitious goals.Our elite team includes world-class competitive programmers, experienced founders, and leaders from renowned AI companies such as Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. We are a small team with a rich talent pool, dedicated to pushing the boundaries of what AI can achieve.As we continue to develop Devin and Windsurf, we invite you to help us address some of the most pressing global challenges and create AI that can reason through real-world tasks. If you're passionate about solving big problems, we would love to hear from you!Role OverviewWe are seeking a Data Engineer to take ownership of our data stack, encompassing database architecture, data pipelines, integrations, and reporting. You will design and manage systems that ensure our data is reliable, accessible, and actionable for the Finance and Accounting teams.Key Responsibilities:Design and oversee database architecture and data models tailored for finance and accounting applications.Develop and maintain ETL/ELT pipelines and orchestration workflows.Create and manage data integrations between internal and external financial systems.Collaborate with Finance and Accounting teams to establish auditable, automated reporting systems, dashboards, and datasets.Support financial close processes, FP&A workflows, and revenue reporting through scalable data infrastructure.Own business reporting, including datasets, dashboards, metrics, and self-service analytics.Ensure data quality, observability, governance, and thorough documentation.

About the TeamJoin OpenAI as the Director of Data Engineering and Agentic AI Automation, where you'll spearhead the evolution of our finance data infrastructure. As we expand our finance operations, we require robust and scalable data systems that can keep pace with our growth's intricacies. Your leadership will ensure the development of well-structured, auditable data essential for revenue recognition, financial reporting, and strategic planning. You will guide a talented team of analytics engineers, data engineers, and AI engineers to construct data pipelines that seamlessly integrate our internal engineering systems with leading enterprise platforms like Oracle Fusion ERP. Additionally, you will shape the roadmap for agentic AI automation, facilitating intelligent workflows, process automation, and AI-driven decision-making within the Finance department.This position is located in San Francisco, CA, and operates on a hybrid work model, requiring three days in the office each week. We also provide relocation assistance for new hires.Key Responsibilities:Develop and sustain a scalable, auditable data infrastructure that delivers precise financial insights, focusing on revenue recognition, compute attribution, and close automation.Lead and mentor a team of analytics engineers, data engineers, and AI engineers to create impactful, intelligent data systems.Direct initiatives related to financial close and allocations automation, B2C revenue automation connecting engineering systems to ERP, including cash and source system reconciliation.Design and implement data pipelines that bridge ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday.Establish and maintain scalable, audit-proof architecture to support reliable financial reporting and compliance.Create data and AI-enhanced workflows that improve forecasting accuracy, compliance automation, and operational efficiency.Develop and manage data marts and products that serve diverse stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams.Set and uphold best practices for data modeling, lineage, observability, and reconciliation across finance data domains.Define the technical direction and oversee team structure, mentoring engineers and managing contractors or system integrators to ensure high-quality outcomes.

About Our TeamJoin the Finance Data team within our CFO organization, where we are dedicated to creating innovative internal data products that enhance analytics capabilities and streamline operations across various business units. Our team is the go-to source for technical expertise on impactful, scalable projects, specializing in financial and transactional data that underpins our daily financial activities.Your RoleAs an Analytics Engineer, you will lay the groundwork for scaling analytics across our organization while promoting best practices in data management as we grow. We are committed to shaping the future of our Finance team.You will collaborate closely with key stakeholders within Finance and across other business units to identify challenges and develop sustainable solutions. Additionally, you will lead projects that create significant business value and foster a robust data culture among Finance teams.We are in search of an experienced engineer with a solid background in managing the entire data stack in high-volume transaction environments, specifically overseeing critical ETL pipelines utilized by non-technical teams. As a versatile problem-solver, you will engage in various Finance domains (e.g., Tax datamart, ERP migration, Procurement automation). The ideal candidate thrives in dynamic settings, adapts swiftly to changing requirements, and confidently navigates through ambiguity. Note that this role does not involve training ML models, nor does it focus on ‘product analytics’.This position is based in San Francisco, CA, operating under a hybrid work model of three days in the office each week. We also offer relocation assistance for new hires.Key Responsibilities:Assess the data requirements of Finance teams, including Revenue, Tax, Procurement, Compute & Infrastructure Accounting, and Strategic Finance, translating these needs into actionable technical specifications.Drive the development of data products and tools that empower stakeholders with self-service capabilities, enabling scalable analytics throughout the organization.Lead the dimensional design process—defining, owning, and maintaining business-facing data marts.

Join us in making a difference! We're hiring! GoFundMe is the leading platform for social fundraising, dedicated to empowering individuals and nonprofits to support one another. Our community has successfully raised over $40 billion since 2010, making it easier and safer for people to seek help and contribute to causes close to their hearts. We are seeking a Senior Data Scientist for our Finance team to spearhead our data science initiatives in Accounting, Finance, and Payments at GoFundMe. This pivotal role merges financial analytics, payment intelligence, and operational automation, where you will be responsible for developing models, insights, and AI-driven solutions that enhance financial decision-making across the organization. You will shape the technical roadmap, lead impactful projects ranging from fraud detection to revenue forecasting, and establish the analytical framework that grows with our business. Qualified candidates must reside in the San Francisco Bay Area, with an in-office commitment of three days a week.

About UsWho We Are at StripeStripe is a leading financial infrastructure platform empowering businesses of all sizes—from major global corporations to innovative startups. Our objective is to enhance the GDP of the internet by providing the tools necessary for companies to accept payments, increase revenue, and seize new commercial opportunities. Join us in our ambitious mission to shape the future of the global economy, where your contributions will play a pivotal role in transforming financial landscapes.Bridge, our groundbreaking payments platform utilizing stablecoins, is designed to streamline global money transfers. We facilitate quicker, more economical payments and promote seamless access to U.S. dollars through stablecoins. With our advanced APIs, businesses can conduct cross-border transactions more efficiently than traditional systems like SWIFT. Our virtual accounts allow international users to effortlessly manage and utilize U.S. dollars, while our payout framework enables platforms to distribute USD worldwide. We envision a future where trillions of dollars flow through stablecoin payment networks, and Bridge is at the forefront of this evolution.About the TeamThe Stripe Finance & Strategy team serves as a vital partner to Stripe's key operational leaders. We provide insights and predictability to Stripe's financial performance, collaborating across various departments to optimize resource allocation and enhance long-term financial sustainability. This role involves close collaboration with Bridge, a dynamic team of experts in financial infrastructure.Your RoleWe are seeking a detail-oriented and strategic Data & Finance Analyst to join the Stripe Finance & Strategy team. As an early member of the agile Bridge data and finance team, you will integrate data analytics, financial analysis, and strategic planning to define, evaluate, and forecast the operational metrics that propel Bridge's growth. Your insights will drive initiatives from conception to execution, collaborating with both Bridge and Stripe Finance & Strategy to provide context and clarity to Bridge's financial performance. This high-impact role offers expansive exposure across both Bridge and Stripe, perfect for those who thrive in dynamic environments.

About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.

About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.

About the Role ClickHouse is looking for a Data Scientist focused on Finance Forecasting to join our San Francisco team in a hybrid setting. This role centers on using data to strengthen financial decisions and support business strategy. What You Will Do Build and refine predictive models for financial forecasting. Analyze financial data to uncover trends and inform strategy. Work closely with teams across the company to deliver actionable insights. Support strategic initiatives with clear, data-backed recommendations. What We Look For Strong analytical skills and attention to detail. Experience with data-driven financial analysis or forecasting. Comfort working in a collaborative, cross-functional environment. Location: San Francisco, USA (Hybrid)

About Hebbia Hebbia is an innovative AI platform designed for investors and bankers, focused on generating alpha and driving significant upside in financial markets. Established in 2020 by George Sivulka and supported by prominent investors such as Peter Thiel and Andreessen Horowitz, Hebbia empowers investment decisions for leading firms like BlackRock, KKR, Carlyle, and Centerview, among others, comprising over 40% of the world’s largest asset managers. Our flagship product, Matrix, is renowned for its industry-leading accuracy, speed, and transparency in AI-driven analysis, trusted to oversee more than $30 trillion in assets globally. We provide the intelligence that gives finance professionals a critical edge in their decision-making processes. Our advanced AI capabilities reveal hidden signals, uncover opportunities, and facilitate rapid decisions with unparalleled assurance. Rather than merely streamlining workflows, we fundamentally transform capital deployment, risk management, and value creation across markets. Hebbia is more than a tool; it is the competitive advantage that enhances performance, alpha, and market leadership. The Team The Growth and Data team at Hebbia serves as the powerhouse that supplies our AI platform with the essential data for reasoning and retrieval. We are tasked with sourcing, indexing, and enriching a vast array of content from diverse sources, including private enterprise data, public datasets, and third-party platforms, ensuring seamless delivery to enhance user workflows and agentic research. We develop robust integrations with platforms such as Snowflake, S3, SharePoint, and Dropbox, allowing organizations to securely unify their data ecosystems. From discovery and search processes to retrieval-augmented deep research within chat matrix frameworks, the data we provide is integral to powering every aspect of the AI platform. The Role As a Backend Software Engineer on Hebbia’s Growth and Data team, you will be responsible for designing and maintaining the robust backend systems that drive user engagement and contribute to Hebbia's ongoing growth. Your role involves architecting and implementing scalable solutions to enhance our platform's capabilities.

About the Role Anthropic is looking for a Finance Systems Engineer focused on revenue to join the team in San Francisco, CA. This role centers on improving financial systems and supporting accurate revenue reporting. The position works closely with colleagues across departments to strengthen processes and share insights that support business decisions. What You Will Do Refine and maintain financial systems related to revenue Collaborate with teams across the company to improve revenue workflows Support accurate and timely revenue reporting Share findings and recommendations that inform strategy

Discover OktaOkta is the leading Identity Company in the world, dedicated to empowering users to securely access any technology, anywhere, on any device or application. Our versatile and neutral solutions, including the Okta Platform and Auth0 Platform, provide robust security through access management, authentication, and automation, making identity central to business security and growth.At Okta, we embrace diverse perspectives and experiences. We’re not seeking candidates who fulfill every requirement; we value lifelong learners who can enrich our organization with their unique insights.Join us in creating a world where identity is truly yours.As the Senior Manager of Finance Data Governance, you will serve as the architect of trust within Okta’s Finance organization. In a time when AI is transforming financial processes, the integrity of our data is our most crucial asset. You will operate at the nexus of advanced AI innovation and stringent financial compliance, ensuring that our data is not only accessible but also reliable.Your leadership will guide the Finance Data Governance initiative, acting as a liaison between Finance leadership, Enterprise Data Governance, TDI, Privacy, and Legal departments. You will oversee the Finance Data Governance Council (FDGC), ensuring that Finance adheres to enterprise governance standards while addressing specific financial data needs. Your mission is to elevate "data governance" from a mere compliance necessity to a strategic advantage that enhances AI adoption, analytics, and informed executive decision-making.This position is hybrid, requiring in-office attendance two days per week at our San Francisco location.

Role Overview mercor is hiring an Agentic Finance Engineer in San Francisco. This role focuses on building and refining financial systems that help users make informed decisions. The work involves both development and optimization of technology used in financial applications. What You Will Do Develop and improve financial software systems Work closely with teams from other disciplines to deliver solutions that address client requirements Apply engineering expertise to support users in their financial activities Location This position is based in San Francisco.

Join Anthropic as a Finance Systems Integration Engineer, where you will play a vital role in streamlining our financial systems and enhancing integration processes. In this position, you will collaborate with cross-functional teams to design, implement, and optimize finance-related systems, ensuring robust data flow and accuracy. Your expertise will contribute to our mission of building safe and beneficial AI systems.

About UsAt Imprint, we are transforming the landscape of co-branded credit cards and financial products to be more innovative, rewarding, and brand-centric. We collaborate with distinguished companies such as Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch contemporary credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our platform seamlessly integrates advanced payment infrastructure, intelligent underwriting, and a user-friendly experience, enabling brands to offer impactful financial products without the need to operate as a bank.Co-branded cards represent over $300 billion in annual spending in the U.S., yet many are still reliant on outdated banking systems. Imprint stands out as the modern alternative: adaptable, technology-driven, and tailored for today’s consumers. Supported by renowned investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a top-tier team to revolutionize payment methods and foster brand growth. If you're eager to work in a dynamic environment, tackle challenging problems, and make a significant impact, we invite you to join us.Our TeamThe Data Engineering team at Imprint is tasked with developing and expanding the data infrastructure that underpins product innovation, analytics, operations, and machine learning throughout the organization. We are responsible for creating the pipelines, platforms, and processes that enable our stakeholders to trust and leverage data effectively.We are seeking a Data Engineer to advance our modern data architecture and deliver dependable, scalable data solutions. Your contributions will directly influence decision-making and innovation across various business areas—from financial operations to real-time personalization.

At Plaid, we envision a future where financial interactions are seamless and intuitive. We are committed to driving this evolution by crafting innovative tools and experiences that empower thousands of developers to build their own applications. Our platform supports millions of users in achieving healthier financial lives by connecting their financial accounts with the apps and services they love. Collaborating with industry leaders like Venmo, SoFi, numerous Fortune 500 companies, and major banks, Plaid's extensive network encompasses over 12,000 financial institutions across the United States, Canada, the UK, and Europe. Established in 2013 and headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam. #LI-HybridAs a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, which is focused on developing robust golden datasets to enhance our insights-driven product offerings. Data-driven decision-making is at the heart of Plaid's culture, and your expertise will help us scale our data systems while ensuring data accuracy and integrity. You will provide essential tooling and guidance to various teams across engineering, product, and business, enabling them to access and utilize data effectively. Our engineers rely heavily on SQL and Python to create data workflows, employing tools such as DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool for orchestrating data pipelines and defining workflows. Collaborating closely with engineers, product managers, business intelligence, and data analysts, you will contribute to shaping Plaid's data strategy and fostering a data-first mindset. We thrive on an engineering culture that values individual contributions, encouraging bottom-up ideation and empowering our talented team. We seek engineers passionate about making a meaningful impact for our users and customers while growing together as a cohesive team, delivering MVPs, and continuously improving our processes.In this high-impact position, you will empower business leaders to make faster, more informed decisions based on the datasets you create. You will have the opportunity to define the ownership and scope of internal datasets and visualizations across Plaid, an area we aim to develop further by establishing SLAs. This role presents a unique chance to enhance your technical skills and learn best practices from our strong Data Engineering team and the broader Data Platform team. You will collaborate extensively across all teams at Plaid, from Engineering to Product to Marketing and Finance, forging strong cross-functional partnerships.

The OpportunityJoin Enigma at a pivotal moment as we prepare to unveil our next generation of small business intelligence products, informed by years of industry experience. We are in search of a seasoned Senior Data Engineer who will play a crucial role in shaping the future of these innovative products. Your contributions will significantly enhance the accuracy, scalability, and predictive analytics of our data platform, directly impacting our clients' key business strategies.The RoleAs a Senior Data Engineer, your primary responsibility will be to design, construct, and manage our foundational small business data product. You'll work closely with cross-functional teams to develop new product functionalities, starting from raw data sources, through scalable data pipelines and models, to the customer interface. Our culture emphasizes customer focus and complete ownership, measuring your success by the value delivered and the technical excellence of our product.What You’ll DoIdentify and address the unmet needs of our customers through thorough data exploration, prototyping, and evaluation, culminating in the development of robust and maintainable data pipelines.Construct scalable and maintainable data systems that narrate the stories of millions of U.S. small businesses, utilizing tools like Databricks SQL, PySpark, and MLFlow.Leverage our pioneering data infrastructure designed for iterative development and experimentation, utilizing Dagster for orchestration and LakeFS for data version control.Employ a data-driven, first-principles approach to problem-solving, favoring straightforward and elegant solutions while being capable of deploying advanced models and techniques when necessary.Motivate your colleagues to excel while nurturing a collaborative and supportive team environment.What Makes This Role Exciting?Ownership and Impact: Collaborate directly with customers and internal teams to develop product features in a high-trust environment.Technical Challenge: Solve complex data and engineering challenges, balancing innovation speed with scalability and reliability.Learning: Engage with unique, impactful data challenges that demand creative solutions and cutting-edge methodologies.

Front Careers seeks a Senior Data Engineer based in San Francisco, CA. This position centers on building and maintaining data systems that power analytics and reporting throughout the organization. Key responsibilities Design and maintain data architecture to meet analytics and reporting requirements Develop, optimize, and support data pipelines for reliability and scalability Collaborate with teams across the company to improve data quality, accessibility, and security Enhance and maintain the data infrastructure supporting company operations Role overview This role focuses on ensuring that data flows efficiently and securely, enabling teams to access the information they need for business decisions. The Senior Data Engineer will play a central part in shaping how data is managed and used at Front Careers.

About AlembicAlembic is at the forefront of transforming marketing strategies, demonstrating the actual ROI of marketing initiatives. Our cutting-edge Alembic Marketing Intelligence Platform employs advanced algorithms and AI models to address this longstanding challenge effectively. By joining our team, you'll contribute to the development of tools that deliver unparalleled insights into how marketing influences revenue, empowering a growing roster of Fortune 500 companies to make data-driven decisions with confidence.About the RoleIn your role as a Senior Data Engineer at Alembic, you will play a crucial role in our data platform. You will be responsible for creating scalable and dependable data pipelines, optimizing storage solutions, and facilitating both real-time and batch analytics. Collaborating closely with data scientists, software engineers, and product leaders, you will design and implement robust data architectures that propel our mission forward.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines that efficiently ingest, process, and transform extensive volumes of structured and unstructured data.Optimize data storage solutions utilizing modern data lakehouse architectures and industry best practices to enhance cost-effectiveness, performance, and reliability.Collaborate with data scientists and engineers to seamlessly integrate machine learning models and analytical workloads into production environments.Ensure the integrity, quality, and security of data by implementing monitoring, alerting, and governance best practices.Work with cloud-based data warehouses and distributed data processing frameworks to support our data initiatives.Continuously assess and implement innovative technologies to enhance data infrastructure and operational efficiency.What We’re Looking For10+ years of experience in data engineering, software engineering, or a related field.Strong proficiency in SQL and Python for data processing.Experience with contemporary data warehousing and lakehouse solutions (e.g., Iceberg or similar).Expertise in distributed systems and big data technologies (Apache Spark, Hadoop, Kafka, Flink).Hands-on experience with cloud platforms (AWS, GCP, Azure) and related data services.Deep understanding of data management and governance practices.