Senior Data Integration Operations Engineer

About the role

Northeastern University seeks a Senior Data Integration Operations Engineer to manage, monitor, and optimize its data integration pipelines. The role ensures reliable data flow from university source systems into the data lakehouse and downstream applications, supporting 24/7 continuity.

Key responsibilities

• Monitor pipeline health, data freshness, volume trends, and job completion using observability tools; proactively detect anomalies.
• Diagnose and resolve incidents, coordinate with source system owners, and implement emergency fixes as needed.
• Maintain and schedule ETL/ELT workflows on platforms such as Informatica PowerCenter or IDMC, and support SaaS ELT tools like Fivetran.
• Develop and maintain operational documentation, runbooks, and knowledge articles for data pipelines.

Required profile

• Bachelor’s degree in Computer Science, IT, Data Management or related field.
• 4–5 years of hands‑on experience operating enterprise ETL/ELT pipelines in production.
• Experience with cloud platforms (AWS, Azure, or GCP) and lakehouse solutions (Snowflake, Databricks, Microsoft Fabric, Delta Lake).
• Ability to work on‑call rotations and respond to incidents outside regular hours.

Required skills

• Informatica PowerCenter or IDMC administration.
• SQL and Python for data validation and troubleshooting.
• Data observability tools such as Monte Carlo, Acceldata, Anomalo, or Datafold.
• Fivetran or similar SaaS ELT tools.
• DevOps/CI‑CD practices, containerization, and infrastructure‑as‑code.