Data Solution Architect

Senior 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 across departments to translate business needs into technical requirements and scalable, 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 with new and emerging technologies.

• Bachelor’s or Master’s degree in computer science, data engineering, or related field.
• 10+ years of experience with at least 3 years’ experience in data architecture and data products.
• Proven expertise in building data platforms & data products.
• Solid understanding of NLP, LLMs, and advanced analytics workflows.
• Hands‑on experience with Agentic AI systems and frameworks.
• Substantial experience with data modeling, integration patterns & semantic technologies; exposure to Ontology & Knowledge Graph is a plus.
• Understanding of Master Data Management and Data Governance frameworks.
• Experience with BI/reporting tools.
• Deep familiarity with modern data platforms (Snowflake, Databricks, Azure Synapse).
• Experience with data modeling, metadata management, and orchestration tools.
• Excellent communication & collaborator leadership skills.
• Experience working in agile environments and leading multi‑functional teams.

To perform this job successfully, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.