Azure Data Solutions Architect

Position Title & Code: Azure Data Solutions Architect

Location: Washington DC 20001

Project End Date: 09/30/2026 (With Possible extension to next fiscal year)

Responsibilities:

Job Summary

The Department of Healthcare Finance is seeking an experienced Azure Data Solutions Architect with significant expertise in the design development and optimization of our enterprise level analytical data platform solutions. This top-level role will be instrumental in architecting scalable reliable and high-performance data systems that support critical business applications and analytics. The ideal candidate will be a data expert capable of translating complex business requirements into robust technical solutions mentoring junior developers and driving data strategies across the organization.

Key Responsibilities

• Database Architecture & Design: Lead the design and implementation of complex scalable data architectures (relational and potentially NoSQL) including schemas tables views and indexing strategies ensuring data integrity and consistency. Responsible for designing and gaining approval on data architecture decisions data modeling approaches design standards development tools and lifecycle practices that has row level security based on Azure data analytics platform.
• Performance Optimization: Serve as the primary expert for performance tuning and optimization of all SQL queries stored procedures and database configurations utilizing advanced tools (e.g. SQL Server Profiler) to identify and resolve bottlenecks in high-volume environments.
• ETL and Data Pipelines: Architect develop and maintain robust ETL/ELT processes and data pipelines to facilitate data migration transformation and integration from various sources into data lakehouse and warehouse on Azure technology stack.
• Technical Leadership & Mentorship: Provide technical guidance perform code reviews and mentor junior and mid-level developers on best practices for SQL development data modeling and database management.
• Collaboration & Strategy: Work closely with senior management data scientists application developers and business analysts to understand data needs align database strategy with organizational goals and influence the overall technology roadmap.
• Data Governance & Security: Define and enforce database security measures backup/recovery and disaster recovery strategies to safeguard critical data and ensure compliance with industry regulations (e.g. GDPR HIPAA).
• Troubleshooting & Problem Solving: Proactively monitor and troubleshoot the most complex database issues providing high-level support and implementing permanent solutions to ensure minimal downtime and disruption.
• Documentation & Standards: Champion a culture of comprehensive documentation for database architectures processes and operational procedures to ensure knowledge sharing and maintainability.

Required Qualifications and Skills

• Experience: 15 years of proven experience (Master Level) of: delivering high quality complex technology solutions in commercial and government organizations; delivering state-of-the-art data analytics platforms and enterprise applications; working with SQL SSRS SSIS SSAS Azure Data Factory Databricks Python and DAX; and senior level understanding of health care management systems; and working with senior executives.
• Technical Expertise: Deep expertise in one or more major DBMS platforms (e.g. Microsoft SQL Server Oracle PostgreSQL MySQL) and advanced T-SQL/PL-SQL programming.
• Data Technologies: Proficiency with data modeling (dimensional star/snowflake schemas) ETL tools (SSIS Informatica) and cloud-based data platforms (AWS RDS Azure SQL etc.).
• Architecture Skills: Strong understanding of database architecture principles high availability solutions (clustering replication) and capacity planning.
• Soft Skills: Exceptional analytical and complex problem-solving abilities excellent communication skills for technical and non-technical audiences and a proactive leadership-oriented mindset.
• Education: Bachelors or Masters degree in Computer Science Information Technology or a highly quantitative field or equivalent experience.

Preferred: Relevant industry certifications (e.g. Microsoft Certified: Azure Database Administrator Associate) experience with Big Data technologies (Spark Hadoop) and DevOps practices (CI/CD Terraform).

Skill Assessment: (Please include the years of experience last used and brief description on skills below information is to be submitted along with the resume)