Senior Data Integration Operations Engineer
Core
Managing, monitoring, and optimizing enterprise data integration pipelines to ensure reliable data flow from university source systems into a data lakehouse and downstream applications.
Role type
Senior Data Integration Operations Engineer
Builds
Enterprise ETL/ELT workflows, data lakehouse ingestion, and downstream operational applications
Domain
Higher Education / Data Engineering & Operations
Deliverable
production ML models | infrastructure
Required skills
Enterprise data integration platform administration (Informatica PowerCenter/IDMC), SaaS ELT tools (Fivetran), SQL, Python, data observability platforms (Monte Carlo, Acceldata, Anomalo, Datafold), incident management, performance optimization, change management, data quality remediation, automation scripting, DevOps/CI-CD, cloud platforms (AWS, Azure, GCP), lakehouse architecture (Snowflake, Databricks, Microsoft Fabric, Delta Lake)
Preferred skills
Technical certifications in data engineering or cloud platforms
Technologies
Informatica PowerCenter, IDMC, Fivetran, Monte Carlo, Acceldata, Anomalo, Datafold, AWS, Azure, GCP, Snowflake, Databricks, Microsoft Fabric, Delta Lake
Responsibilities
Monitor data integration pipeline health, data freshness, volume trends, and job completion status; Proactively detect anomalies such as late-arriving data, row count deviations, schema changes, or silent failures; Detect, triage, and resolve incidents in a timely manner; Coordinate with source system owners and technical teams
Seniority
Senior, hands-on IC