Job Summary (Sr. Data Solutions Engineer)
- Lead the design, development, and implementation of cloud data strategies, particularly for DMV modernization projects.
- Oversee and mentor a small team of database programmers handling data analysis, profiling, cleansing, and migration activities.
- Manage data conversion, mapping, and migration from legacy systems to modern cloud-based platforms.
- Evaluate, select, and implement data frameworks and cloud architectures to meet project and enterprise needs.
- Enforce data governance standards regarding data quality, security, retention, and stewardship.
- Design and manage system integrations, including database permissions and authorized access for reporting purposes.
- Develop and maintain data models, dictionaries, mapping specifications, and end-to-end data flow diagrams.
- Utilize data governance and cleansing tools to ensure data accuracy, consistency, and quality.
- Collaborate with application, security, and infrastructure teams to maintain cloud privacy, performance, and load management.
- Serve as a technical mentor, capturing lessons learned and transferring knowledge for team and leadership development.
- Lead incident response and troubleshoot technical data issues as they arise.
- Act as Subject Matter Expert for data quality assurance and operations within the application support team.
- Design and maintain data integration solutions across DB2 and Microsoft SQL Server environments.
- Coordinate with enterprise architects to ensure data architecture aligns with organizational goals.
- Identify and communicate project impacts on business processes and software development lifecycle.
- Support leadership with cloud migration best practices and documentation for ongoing and future modernization efforts.
Required Experience and Skills :
Bachelor's degree (Master's preferred) in Computer Science, Information Systems, Data Engineering, or related field.8+ years in data engineering, database design, and data architecture.Strong hands-on experience with cloud platforms (Azure, AWS, Google Cloud).Proficient in ETL / ELT tools, data integration, and migration methodologies.Experience with DB2, SQL Server, and modern data management frameworks.Demonstrated knowledge of data governance, quality management, and data security.Strong analytical, communication, and leadership skills, with experience leading technical teams.Preferred :
Experience in government or large enterprise modernization projects.Familiarity with DevOps, Agile methodology, and CI / CD.Experience with data modeling and metadata management tools.Cloud Data Architecture or Data Engineering certifications.Work Arrangement :
Hybrid (Raleigh, NC), onsite 2 3 days per week for a 6-month contract.