10 Years Azure Data Solutions Architect

Role: Azure Data Solutions Architect

Client: DC Government

Location: Washington, DC (Onsite)

Job Description:

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: Bachelor's or Master's 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).

Job Type: Full-time

Experience:

Bachelor’s in Business Administration, Economics: 3 years (Preferred)

proficiency with Azure Data Factory: 8 years (Preferred)

DB architecture principles, high availability solutions: 8 years (Preferred)

Microsoft Certified: Azure Database Administrator Associate: 1 year (Preferred)

qualify for a STaR2 Journeyman category position.: 1 year (Preferred)

SQL, SSRS, SSIS, SSAS,Databricks, Python, and DAX: 10 years (Preferred)

DBMS platforms, advanced T-SQL/PL-SQL programming: 10 years (Preferred)

data modeling, ETL tools (SSIS, Informatica): 10 years (Preferred)

cloud-based data platforms (AWS RDS, Azure SQL, etc.).: 8 years (Preferred)