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Protocol Intelligence
Data-driven signals on your job's competitivenessModerate competition due to metro location and mid-level TPM title balanced by Databricks specialization.
Role requires platform-specific Databricks experience, moderately limiting cross-industry transferability.
Explicit 6+ years plus Databricks/platform fluency and tooling mandates stricter screening.
Job Description
Structured overview of role & requirementsAbout This Role
Coordinate delivery of data platform and AI engineering initiatives leveraging Databricks Lakehouse components (Unity Catalog, Delta Lake, DLT, Workflows).
Manage technical risk, dependencies, and program artifacts (risk registers, status reports) to keep projects tracked and unblocked.
Run Agile ceremonies and liaise across technical and non-technical stakeholders including vendors, architects, and business teams to align on timelines, scope, and readiness activities.
Minimum Requirements
6+ years experience coordinating technical programs or projects, ideally in AI/Data engineering, platform, or cloud environments.
Working knowledge of Databricks Lakehouse architecture (Unity Catalog, Delta Lake, Delta Live Tables), core Spark concepts, and CI/CD processes.
Proficiency with Jira, Confluence, and Smartsheet, including managing technical program management artifacts like burndown charts and dependency maps.
Familiarity with AI/GenAI enablement concepts (e.g., LangChain, vector databases, Databricks Genie).
Ideal Candidate Profile
Experienced in balancing detailed technical architecture dependencies with program management deliverables in data platform or AI initiatives.
Skilled in translating complex engineering concepts into actionable program plans and communicating progress to non-technical leadership.
Demonstrated ability to coordinate external vendors, system integrators, and cross-disciplinary teams in a dynamic, Agile delivery environment.
