Lead Data Integration Engineer

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. You will lead a high-performing engineering team (5+ engineers), shaping cloud-native and hybrid data solution architectures while establishing best practices. Leveraging your extensive expertise in cloud infrastructure, database modeling, orchestration, and data security, you will transform raw data environments into robust, high-performance, and scalable analytical assets. Responsibilities Mentor & Lead: Guide a team of data integration and ETL engineers, fostering a collaborative, innovation-driven culture. Manage sprint planning, resource allocation, and risk managementCode 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 setupsOrchestration & 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 troubleshooting timesData Modeling & Warehousing: 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 maintenanceBridge Business & Tech: Collaborate with product owners, enterprise architects, and business stakeholders to translate complex requirements into detailed technical specifications and data-flow diagramsPresent Solutions: Confidently present advanced technical architectures to C-level client executives, showcasing ROI, architectural benefits, and performance gains Requirements Experience: 5+ years of proven experience in data management, database design, migration, storage, and advanced data modelingLeadership: Demonstrated experience leading, mentoring, and developing teams of data engineers (experience managing teams of 4–7 engineers is highly preferred)Data Integration & ETL Tools: Deep hands-on experience with major ETL tools such as Talend, AWS Glue, Azure Data Factory, GCP Dataflow, or Apache NiFiOrchestration Mastery: Strong working experience with orchestration and scheduling engines, particularly Apache Airflow (Astronomer)Programming & Scripting: Strong production coding skills in SQL, Python (PySpark, Pandas), Scala, SparkSQL, or BashCloud Platforms: Extensive knowledge of at least one major cloud platform (AWS, Azure, GCP) with emphasis on big data warehousing engines (such as Redshift, Snowflake, Google BigQuery, or Azure Synapse)Infrastructure & Security: Proven understanding of cloud security structures (identity and access management, data masking, and RLS) and compliance standards (GDPR, HIPAA, PI)Documentation: Ability to write high-quality technical design specifications, mapping documentation, and data lineage reportsCommunication & English: Excellent verbal and written English communication (B2+/C1 level), capable of directly managing international clients and conducting presentations Nice to have Serverless Engineering: Experience architecting fully serverless cloud data pipelines (e.g., combining AWS S3, Athena, and AWS Lambda)AI/ML Integration: Exposure to integrating machine learning models, computer vision, or generative AI workflows into data pipeline ingestion processesAdvanced Certifications: Professional certifications in Cloud Architecture (AWS, Azure, GCP), Talend, or Airflow We offer We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceDiscounts for fitness clubs and sports programsBenefits package (sports activities, a variety of stores and services) Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek. EPAM Kyrgyzstan is a team of technologists and innovators united by a passion for technology. In 2022, we opened our first office in Bishkek that works with the world's leading companies across many different industries. EPAM builds a continuously learning organization and helps its employees reach their full potential and achieve their professional goals through learning. Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.