Databricks Platform Lead (Remote)

Seneca Resources; United States; Remote; USD 190,000 - 230,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

401(k) retirement plans

Dedicated staffing partner

Job summary

Seneca Resources is seeking a Principal Databricks Engineer to own and lead our enterprise Databricks platform. You will drive architecture, governance, and platform standards across the organization, working with leadership and cross-functional teams to enable scalable data engineering.

You will partner with external services during initial deployment and progressively assume full ownership, guiding prioritization, security, and cost management for a large-scale cloud data platform.

Qualifications

• Extensive hands-on experience administering and supporting Databricks in enterprise production environments.
• Strong knowledge of Databricks platform architecture, configuration, security, and governance.
• Experience implementing and managing Databricks workspaces, clusters, jobs, workflows, and integrations.
• Experience establishing platform standards, operational procedures, and engineering best practices.

Responsibilities

• Serve as the primary technical expert for the enterprise Databricks environment.
• Own platform administration, configuration, architecture, governance, and operational support.
• Help define the long-term vision and roadmap for Databricks adoption across the organization.
• Partner with an external professional services team during implementation and gradually assume full platform ownership.

Skills

Databricks expert

Azure cloud

Python

SQL

CI/CD

Governance

Architecture

Tech leadership

Stakeholder mgmt

Security

Tools

Databricks Workspaces

Unity Catalog

CI/CD tools

Job description

Seneca Resources is seeking a Principal Databricks Engineer to own and lead our enterprise Databricks platform. You will drive architecture, governance, and platform standards across the organization, working with leadership and cross-functional teams to enable scalable data engineering.

You will partner with external services during initial deployment and progressively assume full ownership, guiding prioritization, security, and cost management for a large-scale cloud data platform.