Senior Data Engineering Manager

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Oversee, mentor, and nurture a global team of data engineers while remaining engaged with architecture, design, code reviews, debugging, and delivery processes.

• Collaborate with Product Managers, Application Team, and Research Analysts to convert roadmap priorities, customer needs, and research requirements into scalable technical strategies.

• Develop and enhance scalable data pipelines, data models, QA systems, and customer-facing delivery mechanisms for Public Investor data offerings.

• Work alongside the Central Team, Feed Operations, Product Specialists, Client Success, and GTM teams to facilitate reliable delivery, incident resolution, client communication workflows, and operational enhancements.

• Utilize AI coding tools to expedite engineering execution, enhance documentation, bolster QA, support technical exploration, and increase team productivity.

• Foster clarity and momentum in uncertain environments by deconstructing complex data, research, and product challenges into actionable engineering initiatives.

⛳️ Requirements

• Over 8 years of professional experience in data engineering, data architecture, big data development, ETL engineering, or similar technical positions.

• More than 2 years of managerial experience, including mentoring, team leadership, and facilitating delivery.

• Proven experience managing, mentoring, or formally leading data engineers or technical teams in a hands-on player-coach role.

• Strong practical expertise with SQL, PySpark, Databricks, and Airflow or comparable workflow orchestration tools.

• Experience in building, maintaining, or scaling business-critical data systems, including pipelines, production datasets, data delivery systems, or customer-facing data products.

• Profound technical judgment across data modeling, distributed data systems, pipeline architecture, orchestration, data quality, observability, and production reliability.

• Excellent communication and cross-functional collaboration abilities, particularly with Product, Research, Operations, Client Success, Sales, and Engineering stakeholders.

🏝️ Benefits

• Flexible work hours

• Flexible vacation

• Generous 401K match

• Parental leave

• Team events

• Wellness budget

• Learning reimbursement