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.
Key Responsibilities
- 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.
Required Skills & Qualifications
- 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 DevOps, CI/CD for data workflows, and data security best practices.
- Certifications in Azure Data, Snowflake, or related cloud technologies are a plus