Databricks Lakehouse Architect & AI Platform Lead

nimblegravity

USA

Remote

USD 180.000 - 240.000

Vollzeit

14 Tage+

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Zusammenfassung

nimblegravity seeks a Principal Architect to lead lakehouse and platform modernization engagements, serving as the technical voice in a strategic data platform partnership. The role blends hands-on architecture with client-facing work, including governance patterns and executive workshops.

Current Databricks Champion certification and a track record of production delivery across cloud, data, and AI workloads are required.

Qualifikationen

  • 10+ years in data engineering or architecture with 4+ years Databricks delivery.
  • Production lakehouse experience with Delta Lake, Unity Catalog, and Databricks SQL.
  • Strong PySpark, SQL, data modeling, and performance tuning.
  • Cloud depth, preferably Azure; AWS/GCP knowledge is a plus.

Aufgaben

  • Lead architecture for lakehouse implementations and modernization programs with Azure as the preferred cloud.
  • Design patterns for Delta Lake, Unity Catalog, and governance balancing performance and cost.
  • Direct technical migrations from legacy warehouses into modern BI ecosystems.
  • Define ingestion, orchestration, CI/CD, testing, observability, and FinOps standards.
  • Architect for AI readiness including feature pipelines and model serving.
  • Join discovery calls, run architecture workshops, and shape technical solutions for sales pursuits.
  • Scope engagements and review statements of work for accuracy and clarity.
  • Build reusable accelerators, reference architectures, and playbooks.
  • Serve as the primary technical liaison to the data platform partner and co-sell.
  • Mentor engineers and run internal enablement sessions.

Kenntnisse

Databricks delivery
Architectural design
PySpark
Executive communication

Tools

Delta Lake
Unity Catalog
Workflows
Databricks SQL
Azure

Jobbeschreibung

nimblegravity seeks a Principal Architect to lead lakehouse and platform modernization engagements, serving as the technical voice in a strategic data platform partnership. The role blends hands-on architecture with client-facing work, including governance patterns and executive workshops.

Current Databricks Champion certification and a track record of production delivery across cloud, data, and AI workloads are required.

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