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Celigo is proud to be a 2025 Gartner Customers’ Choice for iPaaS and a Visionary in the Gartner Magic Quadrant for iPaaS for the second consecutive year. We are ranked #1 iPaaS on G2 for multiple quarters and named a Leader in both B2B/EDI and API Management. Remote-first culture, built on trust, collaboration, and transparency A high-growth, inclusive work environment where innovation thrives Lightspeed learning opportunities to keep you at the leading edge of your field Exceptional coworkers who challenge and inspire you daily
Manager, Data Engineering
Location
United States
Posted
61 days ago
Salary
$150K - $175K / year
Seniority
Lead
Job Description
Manager, Data Engineering
Celigo
Role Description 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. - 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. Qualifications - 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. Requirements - 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). Benefits - Remote-first culture, built on trust, collaboration, and transparency. - A high-growth, inclusive work environment where innovation thrives and ideas are implemented. - Lightspeed learning opportunities to keep you at the leading edge of your field. - Exceptional coworkers who challenge and inspire you daily. - Competitive compensation and benefits, including: - Three weeks of vacation (starting year one). - Wellness days and holidays to recharge. - Parental leave and a generous benefits package. - Monthly tech stipend. - Recognition and career development opportunities.
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