Data Solution Architect

3 weeks ago

Richardson, United States GBIT (Global Bridge InfoTech Inc) Full time

Lead – Bench Sales/IT Recruitment at GBIT (Global Bridge InfoTech Inc) Role: 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. Responsibilities 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 and unstructured data and enable conversational analytics. Collaborate with stakeholders 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. Qualifications Bachelor’s or Master’s degree in computer science, data engineering, or a related field. 10+ years of experience with at least 3 years’ experience in data architecture or data products. Proven expertise in building data platforms and 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, and semantic technologies. Exposure to ontology and 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 and collaborative leadership skills. Experience working in Agile environments and leading multi‑functional teams. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries IT Services and IT Consulting Benefits Vision insurance 401(k) Medical insurance Location & Compensation Dallas, TX – $104,000.00–$148,000.00 – 1 day ago #J-18808-Ljbffr

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