compute utilization

Principal Architect - Databricks

posted by: spj_bot

About Tiger Analytics

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

What you will be doing

We are looking for an experienced Principal Architect – Databricks to lead the architecture and design of enterprise-scale data platforms and Lakehouse solutions. The ideal candidate will bring deep expertise in Databricks, modern data engineering, cloud data platforms, and enterprise data architecture, along with the ability to translate complex business requirements into scalable, secure, and cost-effective solutions.

Job Skills

color data data data invests governance emerge technology data platform experience design communication stakeholder data processing collaborate reliable best practices pyspark solution architecture estimations accounts data governance compute networking enterprise security cloud storage use cases disability enterprise architecture data architecture integrate databricks auditing streaming data design technology scalable data patterns sql data quality automated testing storage stakeholder management business intelligence devops machine learning solution design leadership automation data integration access control artificial intelligence adapt data platforms upskilling networking security apache spark landscape data warehousing data data architectures architectural pattern cloud native life insurance innovation data warehouses stakeholder engagement adoption compute utilization ETL strategic technology data management distribute computing business requirement management engineering cloud management consulting latin term life insurance translate business transformation data engineering business priority analytics infrastructure as code consulting production support scale data pipelines identity management retirement accounts
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