Praescient Analytics is a Veteran-led, Woman-Owned Small Business (WOSB) engaging in Government contracts.
Senior Data Architect, Secret Clearance
Location
United States
Posted
4 days ago
Salary
$135K - $175K / year
Seniority
Senior
Job Description
Senior Data Architect, Secret Clearance
Praescient Analytics
• 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.
Job Requirements
- Active U.S. Secret clearance is required
- Must be a U.S. Citizen to meet federal contract mandates
- Bachelor’s degree in Computer Science, Data Architecture, Information Systems, or a related field with 10–12 years of relevant data design and integration experience OR Master’s degree in a related field with 8–10 years of relevant experience OR PhD in a related field with 5–7 years of relevant experience
- Deep, extensive proficiency in conceptual, logical, and physical data modeling
- Expert knowledge of relational (OLTP) modeling, dimensional (OLAP) modeling, Data Vault 2.0 methodology, and NoSQL structural design
- Comprehensive experience designing and implementing enterprise cloud data structures within AWS and AWS GovCloud, specifically utilizing Redshift, Lake Formation, Glue, EMR, Athena, S3, and DynamoDB
- Expert-level knowledge of enterprise-grade relational databases (Oracle, PostgreSQL), NoSQL engines, and massive parallel processing (MPP) data warehouses
- Expert proficiency with industry-standard data modeling tools (e.g., Erwin, ER/Studio, or open-source equivalents), Git, Jira, and Confluence within an automated DevSecOps environment
- Proven ability to work without supervision on highly complex, mission-critical projects, exercising wide latitude for independent judgment
- Strong interpersonal skills with the ability to articulate complex data visions to both engineering teams and senior federal stakeholders.
Benefits
- Very competitive salary based on qualifications and experience
- Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
- 401(k) with company match
- Travel & performance incentives
- 3 weeks paid time off (plus Federal Holidays)
- $5K annual training allowance
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