| Skills | Required / Desired | Amount | of Experience |
| Leading advanced technology projects or service projects | Required | 6 | Years |
| Full system engineering lifecycle | Required | 6 | Years |
| Creating implementation/integration plans, test plans, and training materials | Required | 6 | Years |
| Hands-on experience in specific product or IT platform | Required | 6 | Years |
| Proven experience of: Delivering high quality, complex technology solutions in commercial and government organizations; | Required | 8 | Years |
| Delivering data analytics platforms and enterprise applications; working with SQL, SSRS, SSIS, SSAS, Azure Data Factory, Databricks, Python, DAX | Required | 8 | Years |
| Senior level understanding of health care management systems; and working with senior executives | Required | 8 | Years |
| Deep expertise in one or more major DBMS platforms (e.g., Microsoft SQL Server, Oracle, PostgreSQL, MySQL) and advanced T-SQL/PL-SQL programming. | Required | 8 | Years |
| Exp data modeling (dimensional, star/snowflake schemas), ETL tools (SSIS, Informatica), and cloud-based data platforms (AWS RDS, Azure SQL) | Required | 8 | Years |
| Strong understanding of database architecture principles, high availability solutions (clustering, replication), and capacity planning | Required | 8 | Years |
| Bachelor’s degree. (Master's highly desired) in CS, IT or a quantitative data field of study OR equivalent exp. | Required | ||
| Certifications (e.g., Microsoft Certified: Azure Database Administrator Associate), experience with Big Data technologies (Spark, Hadoop), and DevOps | Highly desired |
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