Lead Cloud Architect - Google Cloud Platform (GCP)

Role OverviewAs a Lead Cloud Architect, you will play a pivotal role in shaping and enhancing the enterprise-level cloud architecture for the One Data Ecosystem (ODE) on Google Cloud Platform (GCP). Your focus will be on ensuring platform stability, scalability, security, and compliance while facilitating advanced data, analytics, and AI workloads. You will …

Join our innovative team as a Senior Data Engineer specializing in Google Cloud Platform (GCP). In this pivotal role, you'll be responsible for designing and implementing robust data solutions that drive business insights and support data-driven decision-making. You will leverage your expertise in cloud technologies to enhance our data architecture, ensuring scalability and performance while collaborating with cross-functional teams to deliver high-quality data products.

Role OverviewAs a Senior Data Analytics & Data Engineering Architect, you will play an integral role within the Common Data Intelligence (CDI) Hub. Your primary responsibility will be to design, evolve, and oversee T-Systems’ central Azure Lakehouse architecture. This position emphasizes the transition from traditional data warehouse frameworks to modern, cloud-based data platforms that facilitate enterprise-level analytics, sophisticated data applications, and self-service business intelligence. Team/Project OverviewThe CDI Hub stands as the core data and analytics unit, tasked with establishing and managing comprehensive data platforms and standards across the enterprise. Our interdisciplinary team collaborates with various business sectors and global engineering teams to provide scalable, secure, and future-proof Azure-driven analytics solutions. Your ResponsibilitiesArchitect and enhance the enterprise Azure Lakehouse framework to guarantee scalability, performance, and longevity.Lead the modernization of traditional Data Warehouse settings into innovative Lakehouse and Delta Lake architectures.Oversee the architectural process from initial concept through implementation and continuous refinement.Establish and enforce architectural principles, standards, patterns, and best practices for data engineering and analytics platforms.Design and manage data ingestion, processing, and streaming pipelines utilizing Azure Databricks, Azure Data Factory, Event Hub, and Azure Logic Apps.Create and refine data processing solutions leveraging Delta Lake, Spark, Spark Structured Streaming, SQL, and Python.Develop data modeling strategies for both data lake and warehouse layers, implementing Kimball, Inmon, and Data Vault methodologies.Work alongside engineering teams to develop reference architectures, prototypes, and proof-of-concept projects.Empower and mentor data engineering teams in high-quality, autonomous solution development.Ensure that platform designs adhere to enterprise security, data protection, and regulatory standards.Support advanced analytics, self-service BI, and reporting initiatives across the organization.Engage closely with product owners, architects, governance, and business stakeholders in agile environments.Contribute to the ongoing enhancement of platform architecture, development processes, and operational frameworks.

Role OverviewThe Technical Project Manager for Business Intelligence (BI) and Azure Data Platform is pivotal in ensuring the systematic delivery, coordination, and ongoing enhancement of a global BI and Azure Data Platform. This position serves as the key coordination point between business stakeholders, self-service BI teams, and the platform engineering group, guaranteeing prompt delivery, adherence to governance standards, operational stability, and alignment with the overarching enterprise data strategy. Team/Project InsightThis role is integrated within a global Cloud Data & Analytics organization that oversees the operation and evolution of an enterprise-scale BI and Azure Data Platform. The team collaborates across various regions and functions, facilitating governed self-service analytics while ensuring platform reliability, security, and compliance. Key ResponsibilitiesLead and manage technical project initiatives focused on BI and Azure Data Platform, ensuring structured planning, execution, and successful delivery.Function as a proxy Product Owner, effectively translating business needs into well-defined work packages, user stories, and prioritized backlogs.Coordinate project delivery among business stakeholders, self-service BI teams, and central platform engineering.Oversee dependencies, timelines, risks, and deliverables across multiple concurrent initiatives.Utilize agile delivery frameworks (Scrum, Kanban, SAFe) while incorporating traditional project management methodologies as necessary.Support and mentor teams in leveraging Microsoft BI and Power Platform solutions, including Power BI, Power Apps, and Power Automate.Ensure alignment with Azure Cloud & Data architecture, including Azure Data Factory, Databricks, dbt, and data warehousing principles.Manage incident and operational processes, coordinating resolutions with engineering teams and facilitating clear communication with stakeholders.Guarantee service stability, minimize disruptions, and foster continuous improvement of the BI platform.Implement enterprise governance, security, and compliance standards, including Azure identity, access management, and data governance.Coach teams on self-service BI best practices, platform standards, and governance requirements.Facilitate alignment among stakeholders, manage expectations, and aid in decision-making across both technical and non-technical teams.Proactively identify and eliminate barriers to delivery, optimizing processes and methodologies.Maintain transparency through structured reporting, thorough documentation, and the use of tools such as Jira, Confluence, and ServiceNow.

Join our dynamic team as a Lead Senior QA Automation Engineer, where you will serve as a pivotal technical leader within our QA and testing teams. Your primary responsibility will involve managing all facets of software and product testing, ensuring exceptional development quality across our organization. This role encompasses the formulation of comprehensive test strategies, the preparation of detailed test documentation, the identification of defects, and the thorough review of QA reports.As a Lead Senior QA Automation Engineer, you will evaluate test automation tools and technologies, selecting the most suitable options for each project. You will spearhead the transition from manual to automated testing, significantly reducing manual effort. Additionally, you will lead your team in constructing robust test automation frameworks and provide expert QA guidance to support our QA teams.Your responsibilities will also include defining and refining our company's quality standards to guarantee high customer satisfaction. You will implement test frameworks and architectures, and establish continuous integration within our CI/CD pipelines. You will oversee the complete QA process across one or multiple projects—from preliminary testing analysis to software testing, test automation, and post-testing evaluation. Throughout this process, you will ensure that all released products adhere to both company and industry quality standards while remaining abreast of modern tools, techniques, and technologies, ensuring a consistently high level of product quality. An understanding of DevOps methodologies and frameworks, such as the Scaled Agile Framework (SAFe), is essential.Project OverviewThis position focuses on automation testing within the Dedicated Connectivity & Infrastructure (DCI) Hub, specifically targeting the regression testing of complex BSS releases before customer deployment. You will support enterprise-grade network products and applications, guaranteeing quality, stability, and legal compliance across large-scale, mission-critical systems.Key ResponsibilitiesApply your senior-level Test Automation expertise, with a strong emphasis on BSS regression testing for intricate enterprise releases.Design and implement automated test cases catering to complex business requirements (Business Epics / Initiatives level).Technical MasteryExhibit expert-level proficiency with UFT (current platform) and Java automation.Confidently utilize modern tools like Selenium, Selenide, or Playwright and prepare for migration towards Calypso (future target platform).Domain KnowledgePossess in-depth understanding of Enterprise Network business processes and detailed knowledge of B2B connectivity products.Comprehend legally compliant contract and settlement processes.Essential RequirementsMaster’s degree in Information Technologies.5+ years of relevant experience in Software Development.ISTQB certification.Technical SkillsetExpertise in Software QA & Testing, Software Test Engineering, and Quality Assurance.Advanced knowledge in ICT, Programming, Agile Tools, and Agile Methods.Intermediate understanding of DevOps and expertise in Defect Analysis, Test Automation, Test Case Design, and Requirements Analysis.