Key skills
Data EngineeringETL/ELT pipelinesCloud data warehousingSQLProgramming (Python/Java/Scala)Data modelingTechnical leadershipCommunication skillsProject managementPythonJavaScalaETLELTData WarehousingBISnowflakeBigQuerySaaSLeadershipResource PlanningCommunication
About this role
Celigo is a modern Integration and Automation Platform (iPaaS) on a mission to simplify how companies integrate, automate, and optimize processes. They are seeking a Manager, Data Engineering to lead the data engineering department, overseeing the design and maintenance of scalable data infrastructure and ensuring high data quality standards.
Responsibilities:
- 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
Requirements:
- 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
- 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)