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Metro-based senior data platform role with common leadership title but specialized Databricks/Snowflake skills.
Requires deep enterprise data engineering and platform experience, limiting cross-industry transfer without domain expertise.
Explicit 12+ years, 4+ leadership and mandatory Databricks/Snowflake/cloud skills.
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Lead and manage engineering teams responsible for delivering data engineering, cloud, and AI-enabled enterprise data platform solutions.
Drive design and implementation of scalable, secure, and cost-effective data architectures including Data Lakes, Warehouses, and Lakehouse platforms.
Engage with clients and cross-functional teams to align technical solutions with business priorities and ensure delivery excellence.
12+ years overall experience in Data Engineering, Cloud Technologies, AI-enabled data solutions, and enterprise architecture.
4+ years experience in a Technical Leadership role with team management and delivery ownership.
Strong hands-on expertise in Databricks, Snowflake, AWS/Azure/GCP, Spark/PySpark, Python, SQL, and large-scale data processing frameworks.
Experience in data modeling, cataloging, metadata management, governance, and building data lakes/warehouses with ETL/ELT pipelines.
Proven technical leadership handling complex data engineering and AI-driven enterprise platform initiatives.
Experienced in client engagement and collaborating effectively with cross-functional technical and business teams.
Familiarity with financial services domain and supporting talent development, technical evaluations, and delivery excellence initiatives.