Senior Technical Lead - W2 ONLY

Position: .Net Full Stack (Data Track)

Location: Washington DC (ONSITE)

CONTRACT

Job Description:

• Serve as the Lead Developer for the MIGA Data Track, providing hands-on technical leadership and direction across data engineering, integration, transformation, and implementation activities.
• Lead the design, development, enhancement, and modernization of enterprise data solutions, translating business, reporting, analytics, and data requirements into scalable technical implementations.
• Design and develop data pipelines and processing solutions using Azure Databricks, Apache Spark/PySpark, SQL, and relevant Azure data services, supporting structured and semi-structured enterprise data.
• Build and optimize ETL/ELT pipelines, data transformation frameworks, ingestion processes, and reusable data components across multiple source and target systems.
• Work closely with Data/Solution Architects to implement scalable, modular, secure, and maintainable data architectures, ensuring development aligns with approved architectural standards and patterns.
• Lead integration of data from multiple enterprise applications, databases, APIs, files, and upstream/downstream systems, ensuring reliable processing, reconciliation, traceability, and interoperability.
• Implement data quality, validation, reconciliation, exception handling, logging, monitoring, metadata, and audit controls to improve reliability and trust in data products.
• Optimize Spark/Databricks workloads, SQL queries, data pipelines, and processing patterns for performance, scalability, reliability, and efficient utilization of platform resources.
• Establish and enforce development standards, coding practices, code reviews, automated testing, version control, security controls, and reusable engineering patterns across the Data Track.
• Collaborate with DevOps/platform teams to implement CI/CD, automated deployment, configuration management, source control, monitoring, and DevSecOps practices using Azure DevOps/GitHub and applicable Azure capabilities.
• Lead technical troubleshooting, root-cause analysis, defect resolution, performance optimization, deployment support, and production stabilization for complex data processing and integration issues.
• Collaborate with Data Architects, Business/Data Analysts, BI developers, Data Engineers, QA, DevOps, Security, and business stakeholders, while mentoring developers and driving technical reviews, knowledge transfer, and engineering best practices.

Qualification/Experience:

1. Bachelor’s/Master’s degree in Computer Science, Engineering, Information Technology, Data Engineering, or a related discipline, with significant hands-on experience in enterprise data engineering, data integration, ETL/ELT and cloud-based data platforms, including demonstrated experience as a Lead Developer/Technical Lead for complex integrated enterprise data solutions.