To expand our Data team, we are looking for an experienced Data Ops Team Leader to join a team dedicated to developing, maintaining, and leading enterprise data solutions.
Responsibilities
Lead and mentor a Data Operations team, ensuring high performance and professional growth
Oversee operational processes for data systems, including ETL, DWH, BI, scheduling, and monitoring
Manage and optimize enterprise ETL tools (such as DataStage, Informatica) and scheduling systems (Control-M or similar)
Administer BI tools (Tableau, Power BI, BO, Pyramid) and ensure their effective use across the organization
Collaborate with IT and infrastructure teams to maintain and improve data platforms on Linux/Windows environments
Drive adoption and integration of cloud platforms (GCP, AWS, Azure) and managed services
Implement and maintain modern monitoring tools (Grafana, Prometheus, Datadog)
Support Big Data technologies (Spark, Kafka) and contribute to their integration and optimization
Provide DBA support (infrastructure or application level) as needed
Requirements
3+ years of experience managing a Data Operations/DevOps team
Excellent operational experience with data systems (ETL, DWH, BI, scheduling, monitoring)
Proven hands-on experience with enterprise ETL tools (DataStage, Informatica) and scheduling systems (Control-M or similar) – mandatory
Strong administrative knowledge of BI tools (one of: Tableau, Power BI, BO, Pyramid)
Solid understanding of operating systems (Linux/Windows) and IT infrastructure
Experience working with cloud platforms (GCP, AWS, Azure) and managed services – significant advantage
Familiarity with modern monitoring tools (Grafana, Prometheus, Datadog) – advantage
Knowledge of Big Data technologies (Spark, Kafka) – advantage