• Building and optimizing data pipelines • Integrating Aladdin datasets • Developing Snowflake SQL/ETL processes • Ensuring high‑quality, scalable data solutions

• Provide technical leadership and big-picture oversight for the National Background Investigation Services (NBIS) and Enterprise Information Technology (EIT) application development data pipelines • Articulate the data architecture strategy, conceptualize and experiment with alternative data processing approaches, and validate data models • Bridge the gap between legacy data stores and modern, cloud-native data streams within AWS GovCloud • Collaborate with cross-functional software teams, lead data transformation efforts, and exercise wide latitude for independent judgment • Conceptualize, experiment with, and articulate alternative technical approaches to data architecture • Create data pipeline, ETL/ELT, schema, and interface specification documents • Provide technical and big-picture oversight for the development of new or enhanced data source integrations • Lead the modernization of legacy data structures into cloud-native data lakes and data warehouses • Deeply engage with automated orchestration tools and secure data streaming • Drive CI/CD automation and DevSecOps practices within the data tier • Partner with software engineers, data scientists, product managers, and customer application experts to design high-performance data solutions • Leverage Jira, Confluence, and Agile SAFe v6.0 processes to translate high-level client requirements into actionable data user stories, technical roadmaps, and features.

• Formulate, experiment with, and articulate alternative enterprise data architectures • Create comprehensive model, schema, ontologies, and interface specification documents, validating the data architecture against strict federal requirements and security assumptions • Design end-to-end data architectures, including data warehouses, data lakes, operational data stores, and metadata management repositories, aligning them with the Agile SAFe v6.0 roadmap • Author the blueprints for migrating and modernizing complex legacy data systems into highly distributed, cloud-native storage and analytical solutions specifically optimized for AWS GovCloud • Define enterprise data standards, data dictionaries, and master data management practices • Establish the governance models required to safely integrate third-party federal data sources while maintaining strict data lineage • Partner with backend engineers to design frameworks for high-volume, low-latency batch and stream processing pipelines (e.g., Kafka, Kinesis, Spark) that effortlessly bridge application and analytics tiers • Serve as the principal data advisor across the entire program • Work with software engineers, system architects, and customer application experts to evaluate technical trade-offs and drive advanced analytics capabilities • Leverage Jira, Confluence, and SAFe processes to translate high-level mission capabilities and agency mandates into foundational architectural epics, technical features, and data roadmaps.

• Design, develop, and optimize data infrastructure on Databricks • Architect pipelines using BigQuery, Google Cloud Storage, and Apache Airflow • Support the development and maintenance of data platform on GCP • Build, maintain, and improve ETL/ELT pipelines under guidance • Help implement and maintain data quality checks • Partner with Analytics, Product, and Data Science teams for reliable datasets for analytics and reporting