Manager, Data Engineering

 

Integration meets Innovation

At Celigo, we believe integration should empower — not exhaust — innovation. As a modern Integration and Automation Platform (iPaaS), we’re on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world.

Celigo is looking for a Manager, Data Engineering to serve as the primary architect and custodian of Celigo’s data ecosystem, balancing high-level strategic planning with hands-on technical leadership. You will own the full lifecycle of our data infrastructure—from the design of scalable ETL/ELT pipelines and cloud warehousing strategy to the enforcement of rigorous data governance and observability standards. As a bridge between technical execution and business value, you will lead a high-performing team of engineers to deliver a reliable "source of truth" that empowers Data Science, Product, and Executive leadership.

What would you do if hired?

• Lead the Data Engineering department, providing technical roadmap guidance and project direction in alignment with company objectives.
• Recruit, mentor, and coach a high-performing engineering team, managing performance and fostering a culture of continuous technical growth.
• Oversee the end-to-end design, development, and maintenance of scalable data infrastructure, including data warehouses and robust ETL/ELT pipelines.
• Partner with Data Science, Product, and Engineering teams to translate complex business requirements into effective, scalable technical solutions.
• Establish and enforce data quality standards, automated validations, and observability frameworks to ensure high reliability across all pipelines.
• Manage resource allocation and sprint cycles to ensure timely delivery of high-impact projects while maintaining data governance and security policies.
• Evaluate and integrate emerging industry trends and tools to optimize data processing costs and engineering velocity.
• Measure and report on team impact through defined KPIs, ensuring engineering output directly supports business goals.

Who are we looking for?

Skills & Abilities

• Proven track record of managing the full project lifecycle, from initial concept and resource planning to production deployment.
• Exceptional communication skills with a demonstrated ability to work cross-functionally and influence senior leadership.

Education & Experience 

• Degree in Computer Science, Engineering, or a related technical field.
• 3+ years of technical leadership or engineering management experience, preferably in a fast-paced startup or SaaS environment.
• 5+ years of hands-on experience in data engineering, specifically building production-grade pipelines and distributed computing frameworks.
• 5+ years of experience in BI, data modeling, and modern cloud data warehousing architecture (e.g., Snowflake, BigQuery).
• Advanced proficiency in SQL and at least one programming language (e.g., Python, Java, or Scala).

Celigo reasonably expects to pay a base salary between $150,000 and $175,000 per year for this position. Actual starting base pay will be determined by skills, experience, geographic location, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, benefits, or other perks as outlined in any formal employment offer made.

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