Senior Manager, Data Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, recruit, develop, and retain a team of data engineers.

• Establish team expectations, provide constructive feedback, and create career development paths.

• Define the data engineering roadmap in alignment with organizational objectives.

• Assess trade-offs and prioritize team initiatives.

• Ensure timely and budget-conscious delivery of cross-team projects.

• Establish target architecture for data ingestion, modeling, semantic layers, and governance.

• Review design documents and write code as needed.

• Oversee reliable data pipelines with clearly defined SLAs and consistent metric definitions.

• Manage the secure serving layer and APIs, including setting priorities and standards.

• Create governed, agent-ready data with answers that can be traced back to their sources.

• Evaluate data platform and tooling vendors, negotiating contracts within established approval limits.

• Manage costs related to warehouses and tooling.

• Collaborate with finance, operations, sales, marketing, and product teams to address evolving data needs.

• Report directly to the VP of Engineering.

⛳️ Requirements

• Over 10 years of experience in software or data engineering, including 5+ years in a management role.

• Proven track record in hiring talent, developing individuals, and building cohesive teams.

• Experience in designing enterprise data architecture, encompassing warehouses, modeling, lineage, and governance.

• Hands-on experience with contemporary warehousing and transformation frameworks, such as Snowflake, BigQuery, or dbt.

• Proficient in SQL.

• Fluent in at least one backend programming language, such as Python, to review and contribute effectively.

• Demonstrated ability in agentic engineering beyond mere prompting, including utilizing coding agents and integrating agentic practices within a team.

• Familiarity with production APIs, authorization and access control, and handling of Personally Identifiable Information (PII).

• Proven history of delivering data platform projects that span multiple teams.

• Experience in building consensus with stakeholders outside of engineering, including finance, capital markets, and accounting.

• Background in preparing governed data for AI applications, ensuring traceability of answers to their sources.

• Experience in vendor evaluation and contract negotiation.

• Successful completion of a background check.

🏝️ Benefits

• Unlimited Paid Time Off (PTO).

• Comprehensive medical coverage.

• Dental insurance.

• Vision insurance.

• Paid parental leave.

• Retirement plan options.

• Culture that promotes internal advancement.

• Opportunities for talent development and career progression.

• Meaningful, purpose-driven work.

• Collaborative, impact-focused, and balanced work environment.