Manager, Data Engineering & Analytics

Role Overview

We are looking for a Manager, Data Engineering & Analytics to own the architecture, delivery, and evolution of our enterprise data platform. This is a hybrid leadership and hands-on role: you’ll manage a team of data engineers while staying close to the data modeling, pipeline architecture, and business automation work that keeps the platform running.

What You Will Do

Manage and mentor a team of data engineers, providing regular feedback, technical coaching, performance reviews, and career development support. Architect and maintain our data transformation layer in dbt, ensuring modular, tested, and well-documented data models. Manage and optimize our enterprise data warehouse in Google BigQuery, including performance tuning, cost management, and access controls.

Why It Might Be a Fit

You’ll shape the next stage of our data platform — from warehouse architecture to the integrations and dashboards the business relies on every day — while building and growing a team around you.

Requirements

• 5+ years in Data Engineering, Analytics Engineering, or Enterprise Data Solutions
• 2+ years of formal people management, or demonstrated experience leading engineering squads, sprint planning, and managing backlogs in Jira
• Production-level experience designing, optimizing, and managing a cloud data warehouse (Google BigQuery or Snowflake preferred)
• Advanced dbt experience — architecting and deploying projects using macros, tests, incremental models, and documentation
• Hands-on experience building integrations using an enterprise iPaaS (e.g., SnapLogic, Workato, Fivetran, Boomi) and third-party REST APIs
• Hands-on experience administering a modern BI platform (Tableau user management, data sources, and site administration preferred)
• Proven ability to communicate technical trade-offs to non-technical business partners and document complex, end-to-end data workflows

Benefits

• Health and wellness coverage: Medical, dental, and vision insurance
• Disability coverage: Short-term and long-term disability
• Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
• Additional life coverage options: Supplemental life insurance for employees, spouses, and children
• Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
• Financial security: 401(k) Savings and Investment Plan with company matching
• Time off benefits: Flexible vacation policy
• Holidays: 8 paid holidays annually
• Sick leave
• Parental support: Paid parental leave
• Employee Assistance Program (EAP) and Care Counselors
• Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
• Health Savings Account (HSA) with employer contribution

Tagged as: BigQuery, Pipeline Management, Snowflake, Tableau, Workato