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VP - Sr Lead Data Engineer (Snowflake)

JPMorgan Chase
Mumbai, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 2 weeks ago
SnowflakeSnowpipeTasksStreamsSQLPython
Free

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SnowflakeSnowpipeTasks
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Key Responsibilities

  • Design and develop scalable data pipelines to ingest, transform, and manage data from multiple structured and semi-structured sources within Snowflake.
  • Build and optimize data models, ETL/ELT processes, and reusable engineering components to support reporting, analytics, and AI/ML use cases.
  • Implement data quality controls, validation frameworks, and monitoring capabilities to ensure trusted and reliable datasets.
  • Collaborate with upstream application teams and data providers to onboard new data sources, resolve data issues, and support ongoing platform enhancements.
  • Partner with analytics, reporting, and controls teams to deliver consumption-ready data products that meet business requirements.
  • Support platform stability, performance tuning, operational monitoring, and production issue resolution while contributing to engineering best practices.
  • Provide technical leadership and mentorship to junior engineers, promoting high-quality design, coding, testing, and documentation standards.

Required Qualifications

  • 8+ years of data engineering experience with significant hands-on development experience in Snowflake-based environments.
  • Strong expertise in Snowflake, including Snowpipe, Tasks, Streams, SQL, and modern data modeling practices.
  • Strong programming skills in Python and experience building scalable ETL/ELT solutions.
  • Demonstrated hands-on expertise in Snowflake, SQL, Python, and modern data engineering practices.
  • Exposure to vector databases, RAG pipelines, and AI/LLM-enabled data architectures is a plus.
  • Experience integrating data from multiple upstream systems and supporting large-scale data transformation and reporting workloads.
  • Solid understanding of data governance, data quality, metadata management, and operational support processes.
  • Strong problem-solving, stakeholder management, and communication skills with the ability to work effectively across business and technology teams.
  • Experience mentoring engineers and leading technical workstreams within agile delivery teams.

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