Principal Databricks Architect & Platform Leader

Nimble Gravity; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Nimble Gravity seeks a Principal Databricks Architect to lead lakehouse modernization and act as the primary technical voice in our Databricks partnership. You will architect migrations from legacy platforms, define governance patterns, and design scalable data solutions while guiding clients and delivering measurable business value.

You will mentor engineers, run executive workshops, and help the sales team articulate technical strategies.

Qualifications

• Current Databricks Champion certification, in good standing.

Responsibilities

• Architect and deliver lakehouse implementations, platform migrations, and modernization programs on Databricks (Azure preferred).
• Design Delta Lake, medallion, and Unity Catalog patterns balancing performance, cost, governance, and speed to value.
• Own technical direction for migrations from legacy platforms into Databricks and Fabric/Power BI ecosystems.
• Define ingestion, orchestration, CI/CD, testing, observability, and FinOps standards.
• Architect for AI readiness including feature pipelines and GenAI use cases on governed data.
• Join discovery calls, run architecture workshops, and shape technical solutions for Databricks opportunities.
• Scope engagements and review SOWs for technical accuracy, risk, and commercial clarity.
• Build reusable accelerators, reference architectures, and playbooks for pursuits.
• Serve as Nimble Gravity's primary technical liaison to Databricks and participate in partner activities.

Skills

Databricks experience

Spark PySpark

SQL proficiency

Executive communications

Cloud architecture

Client facing

Tools

Databricks

Power BI

Microsoft Fabric

Terraform

CI/CD for data platforms

Job description

Nimble Gravity seeks a Principal Databricks Architect to lead lakehouse modernization and act as the primary technical voice in our Databricks partnership. You will architect migrations from legacy platforms, define governance patterns, and design scalable data solutions while guiding clients and delivering measurable business value.

You will mentor engineers, run executive workshops, and help the sales team articulate technical strategies.