Data Solutions Architect

Role Overview:

• Strategic leadership role requiring deep expertise in financial data ecosystems and enterprise transformation.
• Critical role in shaping the organization’s data strategy to enable advanced analytics and AI-driven decision-making.
• Ensures alignment with business strategy, regulatory requirements, and long-term scalability needs.

Key Responsibilities:

• Design and implement enterprise-level data architecture frameworks like data lakes and data warehouses.
• Define and enforce data governance, security, and compliance standards across the organization.
• Lead the architecture of AI and machine learning platforms and enterprise data products.
• Drive adoption of modern data paradigms such as Data Mesh and Data Product-based architectures.

Technical Expertise:

• Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP).
• Data Architecture & Modeling: Enterprise data modeling frameworks, data warehouse and lake architectures.
• Databases & Data Technologies: Relational, NoSQL, Graph, and Vector databases.
• Data & AI Platforms: API-driven ecosystems, MLOps, and scalable data infrastructure design.