Key skills
Data architecturemodelingDatabase management SQLDatabase management NoSQLData qualitygovernanceLegacy system modernizationTechnical project leadershipCloud certificationsAnalytical skillsCertified Data Management ProfessionalGoogle Professional Data EngineerSQLNoSQLData EngineeringAWSAzureCommunication
About this role
Element is a company that partners at the intersection of innovation and client needs, creating digital solutions for government and commercial customers. The Senior Data Engineer will lead data architecture and integrity assessments, focusing on evaluating enterprise data environments and ensuring data integrity throughout modernization initiatives.
Responsibilities:
- Evaluating applications and data environments against data architecture best practices and risk mitigation strategies for managing legacy data throughout the modernization lifecycle
- Analyzing and documenting data dependencies that impact system decoupling, modularization, and coexistence strategies
- Identifying data integrity risks within current systems, databases, and operational workflows
- Assessing data flow patterns, database relationships, and integration points across interconnected applications
- Documenting existing data management practices and identifying opportunities to strengthen reliability and governance
- Collaborating with infrastructure and architecture teams to ensure data considerations are integrated into stabilization and modernization planning
- Producing clear findings and recommendations as part of the 16-week technical assessment deliverables
- Leading the implementation of approved data management improvements in Phase 2, ensuring changes enhance reliability while preserving operational continuity
Requirements:
- Bachelor's Degree in Computer Science, Data Science, or Information Systems, or a related field
- 8+ professional experience in data engineering, database architecture, or enterprise data platform management
- Strong expertise in data architecture and modeling
- Database management (SQL, NoSQL) and integration strategies
- Data quality, governance, and risk mitigation
- Experience with legacy system modernization, system decoupling, and modularization initiatives
- Proven ability to lead technical projects and implement data improvements across complex environments
- Strong analytical, problem-solving, and communication skills, with the ability to translate complex technical findings into clear recommendations for business and technical stakeholders
- US Citizenship or Permanent Residency required
- Must reside in the Continental US; located in the state of Pennsylvania a plus, but not required
- Depending on the government agency, specific requirements may include public trust background check or security clearance
- Certification in any of the following is a plus: Certified Data Management Professional (CDMP)
- Cloud-focused certifications (e.g., AWS Certified Big Data or Azure Data Fundamentals)
- Google Professional Data Engineer
- Experience working in large-scale enterprise, healthcare, or public sector environments with complex system dependencies is strongly preferred
- Experience working within the State/Commonwealth is a plus