Lead Data Integration Engineer

We are seeking a Lead Data Integration Engineer to design and deliver reliable ingestion and integration services on a modern data platform. You will guide technical decisions, collaborate across infrastructure and architecture stakeholders, and ensure high-quality delivery.

Design data ingestion services aligned with data architecture standards Implement requirements for BDX ingestion services using ETL/ELT approaches Lead technical decisions to ensure scalable, maintainable integration solutions Coordinate release changes with the infrastructure team to support deployments Build and optimize SQL-based transformations and validation checks Develop and support Databricks workloads used in integration pipelines Ensure services run effectively on Azure Kubernetes Service environments Apply SOLID and clean code principles across the codebase Communicate technical progress and risks with onshore BSA and architects Troubleshoot integration failures and drive root-cause resolution Document integration designs, interfaces, and operational runbooks 5+ years of experience with data integration and ETL/ELT platforms Experience with SQL for data transformation and validation Experience with Databricks in production data workloads Experience with Azure Kubernetes Service for deploying data services Leadership experience guiding design decisions and mentoring engineers Project delivery experience translating requirements into implemented ingestion services Strong data architecture knowledge for scalable and maintainable solutions Solid understanding of SOLID principles and clean code practices Effective stakeholder communication skills with analysts and architects Strong collaboration skills for working with infrastructure and release teams Upper-Intermediate English proficiency (B2) .NET development experience ReactJS experience for building internal tools or lightweight UIs