Databricks Project Manager

Location: United States – Remote

Employment Type: Contract (W-2 only; no C2C)

Work Authorization: Must be authorized to work in the United States without current or future employer sponsorship or H-1B transfer support.

About the Role: We are seeking an experienced Databricks Project Manager to lead customer engagements from project kickoff through production go-live and adoption. You will serve as the primary point of contact for customers, coordinate across Databricks, implementation partners, support teams, engineering teams, and business stakeholders, and help ensure projects stay aligned to scope, timelines, risks, dependencies, and expected outcomes. This role is ideal for someone who understands data and cloud platform implementations and can effectively manage both customer relationships and technical delivery teams.

Key Responsibilities: Manage Databricks implementation projects from kickoff through production go-live. Serve as the primary customer contact for project status, risks, dependencies, issues, and delivery coordination. Coordinate across Databricks, implementation partners, engineering teams, support teams, and customer stakeholders. Own project plans, milestones, schedules, dependencies, RAID tracking, and regular status reporting. Identify delivery risks early and drive escalation, mitigation, and resolution. Facilitate project meetings, stakeholder reviews, working sessions, and executive status updates. Support customer onboarding, user enablement, platform adoption, and expansion of Databricks usage. Track platform utilization and work with technical teams to identify opportunities for performance improvement and cloud cost optimization. Ensure business and technical teams remain aligned on scope, priorities, timelines, and expected outcomes. Support the transition from implementation into production support and ongoing platform adoption. Manage multiple workstreams or customer engagements while maintaining clear communication and delivery accountability.

Required Qualifications: 5+ years of experience managing data, analytics, cloud, or enterprise technology implementations. Proven experience managing customer-facing projects from kickoff through production deployment. Strong project management experience across planning, scheduling, risk management, dependency management, issue resolution, and stakeholder communication. Experience working closely with engineering, architecture, cloud, data, or platform teams. Strong client-facing communication skills and the ability to work effectively with both technical and business stakeholders. Experience managing multiple concurrent workstreams, projects, or customer engagements. Must be currently located in the United States. Must be legally authorized to work in the United States without requiring current or future employer sponsorship or H-1B transfer support.

Preferred Qualifications: Experience managing Databricks, Lakehouse, data engineering, analytics, or cloud modernization projects. Working knowledge of Databricks concepts such as workspaces, Unity Catalog, data pipelines, compute, governance, and cloud infrastructure. Experience supporting implementations across AWS, Azure, or GCP.Familiarity with Agile delivery methodologies and tools such as Jira, Confluence, Azure DevOps, or similar platforms. Experience supporting customer onboarding, platform adoption, utilization tracking, or cloud cost optimization. Experience working with implementation partners or professional services organizations. PMP, Scrum, SAFe, Databricks, or cloud certifications are a plus.