- Mandatory AI Experience: We require deep, hands-on experience and understanding of Artificial Intelligence. You must have good exposure to some of the emerging technologies like Gen AI, LLM etc..
- 18+ years of data engineering experience with strong experience in the Big Data, Azure and Snowflake ecosystem.
- Experience of leading & mentoring multiple high-performing data engineering teams.
- Good experience of working on proposals, defining solutions, roadmaps & plan, doing estimation etc., with a proven track record of directly contributing to account growth.

Technical Competencies:

- Azure Ecosystem : Strong experience of working with following technologies: Azure ecosystem - Azure Databricks, Data Factory, Microsoft Fabric, Event Hub, Streaming Analytics, Cosmos DB, Unity Catalog and Purview.
- Must have: Strong Experience of working on Databricks ecosystem (PySpark, Notebooks, Unity Catalog, DLT, Workflows, SQL Warehouse etc.).
- Snowflake Ecosystem : Deep expertise in Snowflake data warehousing, architecture, performance tuning, and optimization.
- Hadoop Ecosystem: Hadoop, Spark, Kafka, Hive, NoSQL-HBase/MongoDB/Cassandra, Impala, Sqoop etc..
- Programming experience either in Python or Scala/Java.
- CI/CD with Git, Jenkins / Azure DevOps.
- Exposure to NoSQL Database and Data Modelling.

Architectural Experience:

- Data lake / Lakehouse / data fabric / data mesh design and implementation.
- Designing/building large cloud-based Data Platform solutions (on Azure).
- Experience of building solutions to support BI and Data Science teams in consuming the data in a secure and governed manner.

Education: B.Tech/B.E from reputed institute preferred.

You are important to us, let's stay connected! Every individual comes with a different set of skills and qualities so even if you don't tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect,



and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our tribe is solving problems that eventually impact the lives of millions globally. Our culture is built on expertise and respect, with a team-first mindset. Headquartered in Silicon Valley, you'll find our delivery centers across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce.

We're Excellent Place to Work-Certified™. Working at Tiger Analytics, you'll be at the heart of an AI revolution. You'll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

Curious about the role? What would your typical day look like?

- As a Data Engineering Leader, you will work with key leaders across the organization—tech consulting, analytics consulting, data science, data engineering, and business development—to advance the company's capabilities and positioning. A significant mandate of this role is taking high ownership in the growth of the account, identifying new avenues for expansion, and building deep client trust.

On a typical day you might:

- Drive aggressive growth of the account and work with strategic clients to help define their data engineering roadmaps.
- Provide client advisory on key engineering & architectural decisions across the full life cycle of big data engineering projects like Data Lake / Lakehouse implementation, DWH Modernization, Data Fabric implementation etc..
- Identify new ways of leveraging technology to solve client engineering problems.
- Track latest tech innovations and build relevant PoVs & PoCs to further our capabilities.
- Identify opportunities for Tiger to build IP and lead the development efforts.
- Lead capability building initiatives as part of our Innovation Lab and L&D; Academy.
- Participate in organization building, hiring, partnerships, conferences etc.

📌 Tech SME - Databricks & Snowflake (Chennai)
🏢 Tiger Analytics
📍 Chennai