Data Ops Team Leader

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.

This opportunity is with Naya, an EPAM company, a leading global provider of data platforms and development professional services. Based in Israel, Naya is one of the fastest-growing companies in the data and development technology space, and we’re growing our team.

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

• Strong leadership and team management abilities

• Excellent communication and collaboration skills

• Analytical mindset and problem-solving skills