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Senior, niche Snowflake/data warehousing role in Hyderabad with strong specialization reduces competition.
Core data engineering skills are transferable across industries, though finance governance adds moderate domain specificity.
Explicit 10+ years and 5+ years Snowflake leadership plus specific tech mandates makes screening highly strict.
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Lead the development and implementation of data warehousing strategies across LPL Financial ensuring alignment with business goals.
Own the design, development, and optimization of data pipelines and Snowflake data warehouse environments with focus on performance, scalability, and cost management.
Mentor and manage a team of data engineers and analysts while integrating data governance, security, and quality controls into data warehousing processes.
10+ years of experience in data warehousing including at least 5 years in leadership managing Snowflake warehousing teams.
Bachelor’s degree in Data Science, Computer Science, or related field; Master’s preferred.
Hands-on experience with cloud data lake architectures (AWS S3, Glue, Lake Formation, Snowflake) and data governance tools (Unity Catalog, Collibra, Atlan, AWS Glue Data Catalog).
Expertise in Python and/or SQL programming, pipeline orchestration tools (Airflow, Step Functions, dbt), and DevOps practices (Terraform/CloudFormation, CI/CD).
Experienced leader capable of managing complex cloud-based data warehousing teams focused on Snowflake platforms.
Strong background in cloud data architectures and data governance with practical knowledge of cost management and performance optimization.
A controller and improver of data pipeline reliability and quality with strategic oversight of data security and compliance in a regulated financial services environment.