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Experience Level
Mid to Senior
Qualifications
Key ResponsibilitiesOversee large-scale data analytics client engagements within a global delivery framework.Collaborate with business leaders to comprehend program requirements and constraints for successful outcomes.Articulate technology solutions to both technical and business audiences, emphasizing the solution's robustness and its potential to drive business value.Innovate problem-solving approaches by leveraging contemporary trends in data and analytics.Engage in discussions regarding high-level architecture, platform suitability, and tool integration for data and analytics solutions.Lead strategic discussions on the implementation of digital and cloud-based solutions.Work closely with business and IT stakeholders, as well as product managers, to co-create software solutions.Qualifications12+ years of expertise in Big Data, data warehousing, data analytics, or Information Management-related projects.Proven experience in building extensive enterprise data architectures utilizing both commercial and open-source Data Analytics technologies.Design and implement scalable Databricks-based architectures to process and analyze large-scale life sciences data.Lead the end-to-end design of data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks.Deploy Databricks on AWS, ensuring optimal security, scalability, and performance.Employ Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics solutions.Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms as necessary.Demonstrated ability to produce client-ready solution architectures and create business-focused presentations, along with strong communication skills to facilitate workshops.Proficient in data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi, and Kafka to construct and maintain complex queries, streaming, and real-time data pipelines.Solid data modeling and architecture skills, with a deep understanding of data warehousing principles and experience with data warehouse solutions, including Amazon Redshift and Google BigQuery.
About the job
Tiger Analytics is at the forefront of harnessing AI and analytics to address some of the most challenging issues faced by organizations worldwide. Our team crafts tailored solutions powered by cutting-edge data and technology for numerous Fortune 100 companies. With offices in various cities across the US, UK, India, and Singapore, we also boast a significant remote global workforce.
If you are eager to tackle business challenges using both structured and unstructured data at scale, we want to hear from you! We are looking for an experienced and motivated Principal Architect in Data Engineering to play a crucial role in designing and implementing effective data solutions that resolve our clients' complex business problems.
About Tiger Analytics
Tiger Analytics is transforming the AI and analytics landscape by developing customized solutions that tackle the most pressing challenges faced by organizations globally. Our innovative approach, combined with a diverse team and a strong emphasis on collaboration, positions us as leaders in the field, supporting some of the world's largest enterprises in their data-driven journeys.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Mid to Senior
Qualifications
Key ResponsibilitiesOversee large-scale data analytics client engagements within a global delivery framework.Collaborate with business leaders to comprehend program requirements and constraints for successful outcomes.Articulate technology solutions to both technical and business audiences, emphasizing the solution's robustness and its potential to drive business value.Innovate problem-solving approaches by leveraging contemporary trends in data and analytics.Engage in discussions regarding high-level architecture, platform suitability, and tool integration for data and analytics solutions.Lead strategic discussions on the implementation of digital and cloud-based solutions.Work closely with business and IT stakeholders, as well as product managers, to co-create software solutions.Qualifications12+ years of expertise in Big Data, data warehousing, data analytics, or Information Management-related projects.Proven experience in building extensive enterprise data architectures utilizing both commercial and open-source Data Analytics technologies.Design and implement scalable Databricks-based architectures to process and analyze large-scale life sciences data.Lead the end-to-end design of data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks.Deploy Databricks on AWS, ensuring optimal security, scalability, and performance.Employ Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics solutions.Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms as necessary.Demonstrated ability to produce client-ready solution architectures and create business-focused presentations, along with strong communication skills to facilitate workshops.Proficient in data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi, and Kafka to construct and maintain complex queries, streaming, and real-time data pipelines.Solid data modeling and architecture skills, with a deep understanding of data warehousing principles and experience with data warehouse solutions, including Amazon Redshift and Google BigQuery.
About the job
Tiger Analytics is at the forefront of harnessing AI and analytics to address some of the most challenging issues faced by organizations worldwide. Our team crafts tailored solutions powered by cutting-edge data and technology for numerous Fortune 100 companies. With offices in various cities across the US, UK, India, and Singapore, we also boast a significant remote global workforce.
If you are eager to tackle business challenges using both structured and unstructured data at scale, we want to hear from you! We are looking for an experienced and motivated Principal Architect in Data Engineering to play a crucial role in designing and implementing effective data solutions that resolve our clients' complex business problems.
About Tiger Analytics
Tiger Analytics is transforming the AI and analytics landscape by developing customized solutions that tackle the most pressing challenges faced by organizations globally. Our innovative approach, combined with a diverse team and a strong emphasis on collaboration, positions us as leaders in the field, supporting some of the world's largest enterprises in their data-driven journeys.