Data Architect

We are seeking a highly skilled and hands-on Data Architect to join our team. The ideal candidate will be a proactive problem solver with a strong command of modern data architecture
, capable of designing, optimizing, and managing complex data ecosystems. This role requires both strategic architecture design and practical implementation
—someone who can seamlessly shift between high-level planning and hands-on troubleshooting.

You’ll play a critical role in shaping the data architecture roadmap, driving best practices across data integration, transformation, and analytics, and enabling advanced AI-driven insights.

• Design, develop, and maintain scalable and secure data architecture solutions for the SSA project.
• Lead the implementation and optimization of data pipelines using Airflow
  , dbt
  , and Python
  .
• Architect and manage data warehouses and analytics environments in Snowflake and Azure Synapse
  .
• Build and optimize data integration workflows using Azure Data Factory and other Azure data services.
• Collaborate with stakeholders to define and execute a data architecture roadmap aligned with business objectives.
• Ensure data quality, governance, and compliance across all systems and pipelines.
• Provide technical leadership and architectural guidance to development and analytics teams.
• Troubleshoot and resolve data issues quickly, ensuring system reliability and uptime.
• Drive performance optimization for data storage, retrieval, and visualization.
• Leverage AI and machine learning capabilities to enhance analytics and decision-making.
• Develop and publish standards, best practices, and documentation for the data architecture environment.

• 8+ years of experience in data architecture
  , data engineering
  , or business intelligence roles.
• Strong hands-on expertise with:
• Power BI (data modeling, visualization, and performance tuning)
• Snowflake (data warehousing, schema design, optimization)
• Airflow
  , dbt
  , and Python (ETL orchestration and automation)
• MS SQL Server (database design, T-SQL, stored procedures, and performance tuning)
• Azure Data Services –
  Azure Data Factory
  , Azure Synapse
  , and related cloud tools
• Proven experience designing and managing data architectures in cloud environments (Azure preferred).
• Strong understanding of AI and machine learning concepts and how they integrate into modern data platforms.
• Ability to identify architectural gaps and implement improvements proactively.
• Excellent communication skills with the ability to convey complex technical concepts to business stakeholders.
• Must be hands-on and comfortable troubleshooting and resolving issues in real time.
• Self-driven, organized, and capable of driving projects independently in a remote environment.
• Preferred Qualifications
• Experience in public sector or large-scale enterprise projects.
• Knowledge of data governance, lineage, and metadata management tools.
• Familiarity with Dev Ops, CI/CD for data workflows, and data security best practices.
• Certifications in Azure Data, Snowflake, or related cloud technologies are a plus