Data Engineering Manager

About the role

The Data Engineering Manager at Cambria is responsible for leading the engineering function and empowering decision-making with reliable, scalable, accessible data. This role requires a deep understanding of data engineering principles and a strong ability to translate business needs into actionable data products.

Responsibilities

• Lead the team and actively recruit, hire, mentor, and grow data engineers at every level.
• Foster a culture of ownership, curiosity, and inclusion, creating the conditions for people to do the best work of their careers.
• Drive engineering strategy by designing and overseeing data pipelines, warehouse models, and ELT processes that fuel GTM analytics.
• Collaborate with data architects on trade-offs such as performance, cost, complexity, and maintainability.
• Partner with Analytics and Architecture leaders on critical decisions about Snowflake, AWS, dbt, ingestion tooling, and BI platforms.
• Set the technical bar for quality, scalability, observability, and security.
• Translate business needs into engineering plans, working closely with Data Science, BI, Market Research, and the Analytics Product Owner to turn complex business questions into pipelines, reports, and data products that ship.
• Establish the standards for data quality, security, privacy, and governance in partnership with architecture.
• Manage technical debt before it becomes a problem.
• Run the cadence with the APM on roadmap and sprint planning, delivering high-priority data products on time, with quality, in a fast-moving environment.
• Bridge engineering and business, speaking both languages fluently and communicating progress, risks, and strategic direction to senior leadership with clarity and confidence.
• Cover ad-hoc analytical tasks and automate them away over time.

Qualifications & Skills

• Engineering depth: Deep proficiency in SQL and Python. Strong working knowledge of cloud data architecture, distributed systems, and modern ELT/ETL patterns.
• Modern stack fluency: Production experience with Snowflake (Medallion architecture a plus), dbt, and cloud platforms (AWS preferred).
• Familiarity with ingestion tools like FiveTran or Qlik and BI platforms like Sigma, DOMO, or Tableau.
• Big data background: Hands-on experience with distributed data processing at scale — Spark, Hive, Kafka, modern table formats like Apache Iceberg, file formats like Parquet, and dependency-driven job schedulers.
• Data architecture & modeling: Strong instincts for data modeling, schema design, and task estimation. Comfortable with API specs, identifying the right calls, extracting the data, and shaping it into something analysts can actually use.
• Proven leadership: A track record of building, growing, and mentoring data engineering teams. You manage technical debt, set KPIs, run performance reviews, and develop the next layer of leaders below you.
• Business fluency: Comfortable translating between business strategy and engineering execution. You navigate complex cross-functional situations with diplomacy. You speak clearly to executives without dumbing it down.
• Bias for action: Calm under pressure. Excellent attention to detail. Able to deliver high-quality work in a dynamic environment, against tight deadlines and competing requests.

Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s preferred.
• Experience: Significant experience in data engineering, including a proven track record managing data engineering teams.
• Systems: Snowflake, dbt, AWS, ELT/ETL tooling (Qlik, FiveTran, or similar), and modern BI platforms (Sigma, DOMO, Tableau, or similar).

Managerial Requirements

• Manages a team of data engineers; partners cross-functionally with Data Science, BI, Market Research, Analytics Product Management, and senior business stakeholders.

Physical Requirements

• Able to lift up to 20 pounds occasionally / sparingly (office supplies, packages, samples).
• May need to bend, reach, walk, or stoop occasionally.
• Prolonged periods sitting at a desk and working on a computer.
• Able to travel between local Cambria locations.

Travel Requirements

• Regular travel between local Cambria locations.

Additional Requirements

• Minimum Requirements: Education, Experience, Systems, Managerial Requirements, Physical Requirements, Travel Requirements.

Benefits

• Health and Dental Insurance
• Paid Time Off
• 7 paid Holidays
• 401(k) plus matching
• Discretionary Profit Sharing
• Flexible Spending Account
• Life, Supplemental Life, and Disability Insurance
• Referral Program
• Tuition Reimbursement
• Employee Assistance Program
• Employee Discount and Professional Development Assistance

Company Information

For Additional Company Information, please visit www.CambriaUSA.com. An offer of employment is contingent upon the successful completion of a background verification check, subject to applicable laws and regulations. The results will be reviewed based on the individual's record, and the specific duties and requirements of the job.