Databricks Architect in Pittsburgh

Energy Jobline
Pittsburgh, PA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Unity 3d Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Engineering Data Architecture Information Engineering Data Governance Apache Hive Generative AI Data Strategy Data Lakes
+2 more
Pyspark Databricks

Job description

  • Architect and lead enterprise data and AI solutions on Databricks.
  • Design and optimize Lakehouse architectures using Delta Lake and Unity Catalog.
  • Establish data governance, security, and architecture standards.
  • Partner with business and technical stakeholders to drive data strategy.
  • Mentor engineering teams and provide technical leadership.

Requirements

  • Active Databricks MVP designation (Required)
  • 10+ years of Data Engineering, Data Architecture, or Cloud Architecture experience.
  • 5+ years of hands-on Databricks experience.
  • Expert knowledge of Databricks, Delta Lake, Unity Catalog, PySpark, and Spark SQL.
  • Experience with AWS, Azure, or GCP.
  • Strong leadership and stakeholder management skills.

:

  • Databricks Professional Certifications.
  • Experience with AI/ML and Generative AI workloads.
  • Consulting or client-facing architecture experience.

Key Skills: Databricks MVP, Databricks Lakehouse, Delta Lake, Unity Catalog, PySpark, Spark SQL, Data Architecture, Cloud Architecture, Data Governance, AI/ML, Technical Leadership.

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