10+ Years Azure Data Solutions Architect

GoIntellects Inc.Washington, DC
$85 - $90Onsite

About The Position

We are seeking a highly experienced Azure Data Solutions Architect to lead the design and implementation of complex, scalable data architectures for the DC Government. This role involves architecting solutions on the Azure data analytics platform, optimizing performance, developing robust ETL/ELT processes, and providing technical leadership. You will collaborate with various stakeholders to align data strategy with organizational goals and ensure data governance and security. The ideal candidate will have a deep understanding of database technologies, cloud platforms, and a proactive, leadership-oriented mindset.

Requirements

  • 15+ years of proven experience (Master Level) of delivering high quality, complex technology solutions in commercial and government organizations.
  • 15+ years of delivering state-of-the-art data analytics platforms and enterprise applications.
  • Experience working with SQL, SSRS, SSIS, SSAS, Azure Data Factory, Databricks, Python, and DAX.
  • Senior level understanding of health care management systems.
  • Experience working with senior executives.
  • Deep expertise in one or more major DBMS platforms (e.g., Microsoft SQL Server, Oracle, PostgreSQL, MySQL) and advanced T-SQL/PL-SQL programming.
  • Proficiency with data modeling (dimensional, star/snowflake schemas), ETL tools (SSIS, Informatica), and cloud-based data platforms (AWS RDS, Azure SQL, etc.).
  • Strong understanding of database architecture principles, high availability solutions (clustering, replication), and capacity planning.
  • Exceptional analytical and complex problem-solving abilities.
  • Excellent communication skills for technical and non-technical audiences.
  • A proactive, leadership-oriented mindset.
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a highly quantitative field, or equivalent experience.

Nice To Haves

  • Relevant industry certifications (e.g., Microsoft Certified: Azure Database Administrator Associate)
  • Experience with Big Data technologies (Spark, Hadoop)
  • DevOps practices (CI/CD, Terraform)
  • Bachelor’s in Business Administration, Economics: 3 years
  • Proficiency with Azure Data Factory: 8 years
  • DB architecture principles, high availability solutions: 8 years
  • Microsoft Certified: Azure Database Administrator Associate: 1 year
  • qualify for a STaR2 Journeyman category position.: 1 year
  • SQL, SSRS, SSIS, SSAS, Databricks, Python, and DAX: 10 years
  • DBMS platforms, advanced T-SQL/PL-SQL programming: 10 years
  • data modeling, ETL tools (SSIS, Informatica): 10 years
  • cloud-based data platforms (AWS RDS, Azure SQL, etc.).: 8 years

Responsibilities

  • 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.
  • Design and gain approval on data architecture decisions, data modeling approaches, design standards, development tools, and lifecycle practices that have row-level security based on the Azure data analytics platform.
  • Serve as the primary expert for performance tuning and optimization of all SQL queries, stored procedures, and database configurations, utilizing advanced tools to identify and resolve bottlenecks in high-volume environments.
  • 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 the Azure technology stack.
  • Provide technical guidance, perform code reviews, and mentor junior and mid-level developers on best practices for SQL development, data modeling, and database management.
  • 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.
  • Define and enforce database security measures, backup/recovery, and disaster recovery strategies to safeguard critical data and ensure compliance with industry regulations.
  • Proactively monitor and troubleshoot the most complex database issues, providing high-level support and implementing permanent solutions to ensure minimal downtime and disruption.
  • Champion a culture of comprehensive documentation for database architectures, processes, and operational procedures to ensure knowledge sharing and maintainability.
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