Senior Data Production & Data Integration Lead

Responsibilities

• -Lead and supervise data-production, processing, cleansing, validation, transformation, and standardization activities across multiple data sources. -Define and enforce data-production procedures, quality-control rules, validation criteria, and operational data-handling standards. -Lead data-integration preparation activities, including source assessment, mapping, transformation requirements, reconciliation, and readiness for loading. -Supervise multi-source data consolidation and ensure consistency, completeness, traceability, and quality of production outputs. -Coordinate with database, application, integration, and external data-provider teams to resolve complex data and operational issues. -Monitor production progress, review team outputs, manage priorities, and ensure timely and quality-compliant delivery of data-production activities. Job Qualifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; a Master's degree is a plus. 10+ years of experience in data production, data integration, ETL/ELT development, or data engineering roles, including experience in a lead or senior technical capacity. Proven track record designing and delivering large-scale data integration and data production pipelines across heterogeneous source and target systems. Strong hands-on expertise with ETL/ELT tools and platforms (e.g., Informatica, Talend, SSIS, Apache NiFi, or equivalent). Solid understanding of data architecture, data modeling, and database technologies (relational and NoSQL). Demonstrated experience with data quality management, data validation, reconciliation, and error-handling frameworks. Strong knowledge of integration patterns and technologies (APIs, message queues, batch processing, real-time/streaming integration such as Kafka). Experience with data warehousing, data lakes, and data lakehouse architectures. Proficiency in SQL and at least one scripting/programming language (e.g., Python, Java, Shell). Familiarity with data governance, metadata management, and master/reference data management principles. Experience with cloud data platforms (AWS, Azure, or GCP) is an advantage. Proven ability to lead and mentor a team of data engineers/developers, review technical deliverables, and enforce coding and design standards. Strong stakeholder management skills, with the ability to work closely with business analysts, data architects, and application teams to translate requirements into production-ready data solutions. Excellent problem-solving skills, with the ability to troubleshoot complex data production and integration issues under time pressure. Strong documentation skills, including data mapping specifications, integration designs, and operational runbooks. Relevant certifications (e.g., in specific ETL platforms, cloud data engineering, or data management) are a plus. Experience in government, public sector, or large enterprise environments is preferred.