Senior Principal Data Engineer

JustinBradley’s client, a leading source of mortgage financing, is seeking a highly skilled Senior Principal Data Engineer with deep expertise in data engineering and designing and implementing scalable, cloud-native data platforms using AWS and Azure. This individual will play a critical role in building robust, modern data architectures and driving real-time analytics, AI-driven insights, and data governance at scale. Must be local to Reston, VA or Plano, TX for their on-site requirement. Responsibilities: • Architect and develop modern, cloud-native data platforms on AWS and Azure, ensuring scalability, reliability, and performance. • Design and implement advanced data architectures including Data Lake, Delta Lake, Lakehouse, OneLake, and Data Mesh to support real-time analytics and AI initiatives. • Lead the development and optimization of complex ETL/ELT pipelines, including Change Data Capture (CDC) mechanisms for high-velocity data ingestion and transformation. • Integrate and manage enterprise data using tools like Databricks, Apache Spark, PySpark, Apache Airflow, and Apache Flink. • Leverage AWS services such as S3, Redshift, Glue, and EMR, as well as Azure Data Lake, to enable secure, high-throughput data processing and analytics. • Build and maintain self-service BI ecosystems using Power BI, promoting business agility and data democratization. • Ensure enterprise-level data governance, quality, and compliance across data platforms and pipelines. • Collaborate closely with data scientists, analysts, architects, and business stakeholders to ensure that data solutions meet strategic objectives. • Stay abreast of emerging trends in big data, cloud computing, and analytics to continuously improve architecture and tools. Requirements: • 15+ years of experience in data engineering, architecture, and platform development. • 5+ years of hands-on experience designing and deploying scalable, cloud-native solutions on AWS and/or Azure. • Proven expertise in modern data architectures: Data Lake, Delta Lake, Lakehouse, OneLake, Data Mesh. • Strong experience with Databricks, Apache Spark, PySpark, Airflow, Flink, and similar data tools. • Deep knowledge of ETL/ELT, data ingestion, transformation, and Change Data Capture (CDC) strategies. • Hands-on experience with AWS S3, Redshift, Glue, EMR, Azure Data Lake, and Power BI. • Exceptional problem-solving skills and ability to work independently in a fast-paced environment. • Experience leading cross-functional data engineering teams or enterprise-scale migration projects. • Certifications in AWS, Azure, or Databricks are a strong plus. • Familiarity with data privacy regulations and compliance (e.g., GDPR, HIPAA). JustinBradley is an EO employer - Veterans/Disabled and other protected employees.