Data Engineering Manager

Responsibilities:

• Direct supervision: Conduct effective 1:1s, manage career growth, foster psychologically safe team culture.
• Team leadership: Drive delivery execution, manage velocity, facilitate planning and prioritization.
• Cross-functional collaboration: Enable stakeholders across departments, maintain transparency on roadmaps.

Technical governance:

• Design and scale Snowflake-based data platform for AI-ready architecture.
• Oversee enterprise integrations from core systems like Salesforce, HubSpot, NetSuite, Zendesk, Jira.
• Establish data governance standards for ownership, access management, lineage, and observability.

Performance objectives:

• Within 30 days: Establish team management foundation, map stakeholders, audit data ecosystem.
• Within 60 days: Refine operating rhythms, define engineering standards, draft architecture proposals.
• Within 90 days: Deliver architecture recommendation, establish self-service governance, demonstrate team maturity.