Lead Data Integration Engineer

EPAM Systems

Remote · ArmeniaSalary not disclosedcontractVerified recentlyEPAM Systems Careers

We are seeking an experienced and visionary Lead Data Integration Engineer to join our growing data solutions team. In this pivotal technical leadership role, you will act as a Tech Lead / Team Lead responsible for architecting, designing, and maintaining complex, enterprise-grade data pipelines.

Responsibilities

Lead: Guide a team of data integration and ETL engineers, fostering a collaborative, innovation-driven culture.
Manage sprint planning, resource allocation, and risk management Code Review & Quality Assurance
Conduct regular code reviews and set up testing frameworks to ensure compliant, highly performant, and secure database code (SQL, Python, Scala) Culture of Excellence
Act as a role model, championing modern software development practices (CI/CD, version control via Git, modular code design, automated alerting, and monitoring) Modern ETL/ELT
Design: Architect end-to-end data pipeline solutions using serverless frameworks or hybrid setups Orchestration & Automation: Establish robust pipeline scheduling and workflow orchestration using tools like Apache Airflow (Astronomer) or cloud-native schedulers to achieve high pipeline reliability (>99.5%) and minimize…
Design, model, and maintain scalable corporate data systems (OLAP, OLTP, Star/Snowflake schemas, Data Lakes, Lakehouses, and Data Meshes) Change Data Capture (CDC)
Implement modern ingestion patterns, CDC methods, micro-batching, delta extracts, and routine partition maintenance Bridge Business & Tech
Collaborate with product owners, enterprise architects, and business stakeholders to translate complex requirements into detailed technical specifications and data-flow diagrams Present Solutions: Confidently present advanced technical architectures to C-level client executives, showcasing ROI, architectural benefits,…

Languages

Work format: Remote
Seniority: Lead
Posted: 27 Jul 2026 (1mo ago)
Last verified: 28 Aug 2026

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Responsibilities

Lead: Guide a team of data integration and ETL engineers, fostering a collaborative, innovation-driven culture.

Manage sprint planning, resource allocation, and risk management Code Review & Quality Assurance

Conduct regular code reviews and set up testing frameworks to ensure compliant, highly performant, and secure database code (SQL, Python, Scala) Culture of Excellence

Act as a role model, championing modern software development practices (CI/CD, version control via Git, modular code design, automated alerting, and monitoring) Modern ETL/ELT

Design: Architect end-to-end data pipeline solutions using serverless frameworks or hybrid setups Orchestration & Automation: Establish robust pipeline scheduling and workflow orchestration using tools like Apache Airflow (Astronomer) or cloud-native schedulers to achieve high pipeline reliability (>99.5%) and minimize…

Design, model, and maintain scalable corporate data systems (OLAP, OLTP, Star/Snowflake schemas, Data Lakes, Lakehouses, and Data Meshes) Change Data Capture (CDC)

Implement modern ingestion patterns, CDC methods, micro-batching, delta extracts, and routine partition maintenance Bridge Business & Tech

Collaborate with product owners, enterprise architects, and business stakeholders to translate complex requirements into detailed technical specifications and data-flow diagrams Present Solutions: Confidently present advanced technical architectures to C-level client executives, showcasing ROI, architectural benefits,…