Data Solution Architect

As a Senior Data Solutions Architect, you’ll own the design and implementation of modern data platforms that tackle sophisticated business problems. This role goes beyond traditional data engineering, it’s about enabling intelligent automation, semantic understanding, and autonomous decision‑making through technologies like Ontology, Knowledge Graphs, NLP, Agentic AI, and MCP.

You’ll be the extension of business strategy and technical execution, shaping scalable, secure, and intelligent data ecosystems that power sophisticated analytics and AI‑driven transformation.

• Build, develop, and implement modern AI‑ready data architectures, integrations, and application solutions that span multiple platforms and technologies.
• Compose and operationalize ontologies and knowledge graphs to enable semantic data integration and contextual analytics.
• Integrate Agentic AI frameworks to automate multi‑step workflows and decision‑making.
• Own the development of scalable ETL/ELT pipelines, data lakes, and data warehouses.
• Develop and support integrations between enterprise systems including data lakes, warehouses, and third‑party APIs ensuring performance, reliability, and data consistency.
• Apply NLP techniques to extract insights from structured & unstructured data and enable conversational analytics.
• Collaborate with collaborators across departments to translate business needs into technical requirements and scalable and secure technical solutions.
• Collaborate with other developers, data analysts/engineers, and vendors to deliver multi‑functional solutions.
• Define and maintain artifacts, including data flow diagrams, integration patterns, and metadata repositories.
• Ensure data governance, security, and compliance across all solutions.
• Remain up to date in new and emerging technologies.

Mid‑Senior level

Full‑time

Information Technology

IT Services and IT Consulting

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