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Senior, niche Snowflake/Azure role at a well-known firm in Pune creates moderate competition.
Deep Snowflake, Azure Databricks, and data governance expertise limits cross-industry portability.
Explicit 18+ years and specific Snowflake/Azure/Databricks leadership requirements make filters very strict.
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Lead design, implementation, and operational management of secure, scalable cloud data solutions on Snowflake and Azure, including data pipelines and enterprise data platforms.
Drive end-to-end lifecycle of data products, including architecture review board (ARB) discussions and ensuring best practices in CI/CD, IaC, and DevOps for data engineering.
Mentor and lead team members on Azure data engineering technologies, optimize Snowflake and Databricks performance, and collaborate with stakeholders to translate business requirements into technical solutions.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
18+ years of data engineering experience with at least 3 years in a leadership role.
Strong expertise in Snowflake, Azure cloud services (Data Factory, Synapse, Databricks), and programming skills in Python, SQL, and Spark/PySpark.
Experience integrating Power BI and Microsoft Fabric; knowledge of data governance and security with Azure Purview.
Senior-level data engineering leader with extensive experience in cloud data architecture and managing enterprise-grade data products on Azure and Snowflake.
Proven track record in driving adoption of best practices in CI/CD, IaC, and DevOps within data engineering teams.
Able to effectively communicate technical decisions to business and technology stakeholders and lead cross-functional teams in a complex financial services environment.