Lead Data Engineer

Lead Data Engineer - Data Transformation (Modeling and Architecture)Richmond, VA (Fully Onsite)Full-Time OnlyWhat You’ll Do:Build and maintain comprehensive data models—spanning conceptual, logical, and physical layers—to ensure scalable architecture and high data integrity across enterprise systems.Lead design of the org data landscape by applying Consumer Driven design principles, ensuring that data structures reflect business realities and evolving organizational needsArchitect and implement robust data ecosystem solutions, including Data Lake and Data Warehouse patterns, to support diverse analytical and operational requirements.Support high-performance data pipelines and complex transformations that utilize SQL, Spark, and Python to process large-scale datasets efficiently.Define and Enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverabilityTranslate complex technical concepts into actionable business insights, working independently to lead initiatives and collaborate with stakeholders to meet organizational goals.Contribute to the evolution of the data ecosystem by designing AI-ready architecturesCollaborate with and across Agile teams to design, develop, implement, and support technical solutions Work with a team of developers with deep experience in machine learning, AI, distributed microservices, and full stack systemsShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentBasic Qualifications: Bachelor’s Degree At least 4 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)Preferred Qualifications:4+ years of experience in Data Architecture / Data Modeling7+ years of experience in application development including Python, SQL, Scala, or Java4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practicesExperience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion