Job Description
VP, Data Engineer | Charlotte, NC
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Hybrid, 2 days on site | Permanent
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A top-tier global bank is building its enterprise AI and data platform from scratch in Charlotte. That means no legacy systems to inherit, a modern Azure and Databricks stack, and real investment behind it. You’ll be the Databricks expert on a new AI Platform Engineering team, owning the lakehouse that every AI and data team in the bank will build on.
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What you’ll do
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- Design and administer the Databricks platform: workspaces, clusters, Unity Catalog governance and security across DEV, QA and PROD
- Build batch and streaming pipelines with Spark, Delta Lake, DLT/Lakeflow and Workflows, automated with Asset Bundles and Terraform
- Deliver the analytics layer, including Databricks SQL, AI/BI dashboards, Genie and Apps, so the platform is self-service for business users
- Build the data foundations for GenAI, such as feature tables and Vector Search, working closely with AI engineers
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What you’ll bring
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- 6+ years in data engineering, including 3+ years of deep, hands-on Databricks experience
- Full-stack Databricks, from platform administration and Unity Catalog to SQL, dashboards and Apps
- Strong Python, PySpark and SQL, plus Terraform and CI/CD
- Cloud experience, ideally Azure; financial services is a plus
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