Senior Data Architect

Our client in Dallas, TX is looking to add a Sr. Data Solutions Architect to their team.

This is a hybrid role. 2 days in the office each week.

This is a full time role and not open to contract or C2C candidates.

US Citizenship or Green Card Required

About the Role

Are you ready to help shape the future of enterprise intelligence? As a Senior Data Solutions Architect, you will lead the design and implementation of modern data platforms that solve complex business challenges. This role goes beyond traditional data engineering—it focuses on enabling intelligent automation, semantic understanding, and autonomous decision-making through technologies such as ontologies, knowledge graphs, NLP, agentic AI, and MCP frameworks.

You will bridge business strategy and technical execution, creating scalable, secure, and intelligent data ecosystems that power advanced analytics and AI-driven transformation.

What You'll Do

Architect, build, and implement AI-ready data platforms, integrations, and application solutions across diverse technologies.

Design and operationalize ontologies and knowledge graphs to support semantic data integration and contextual analytics.

Integrate agentic AI frameworks to automate multi-step workflows and enhance decision-making.

Own the end-to-end development of scalable ETL / ELT pipelines, data lakes, and data warehouses.

Develop and maintain integrations across enterprise systems—including data lakes, data warehouses, and third-party APIs—ensuring performance, reliability, and consistency.

Apply NLP techniques to extract insights from structured and unstructured data, enabling conversational and contextual analytics.

Partner with stakeholders across departments to translate business needs into secure, scalable technical solutions.

Collaborate with developers, data analysts / engineers, and external partners to deliver cross-functional data solutions.

Define and maintain technical artifacts such as data flow diagrams, integration patterns, and metadata repositories.

Ensure robust data governance, security, and compliance across all solutions.

Stay current on emerging technologies and industry best practices.

What You'll Need

To be successful in this role, you should meet the following qualifications. Reasonable accommodations may be made for individuals with disabilities.

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

10+ years of experience, including at least 3 years in data architecture or data product development.

Demonstrated expertise in building data platforms and data products.

Strong understanding of NLP, LLMs, and advanced analytics workflows.

Hands-on experience with agentic AI systems and frameworks.

Extensive experience with data modeling, integration patterns, and semantic technologies; exposure to ontologies and knowledge graphs is a plus.

Knowledge of Master Data Management and data governance frameworks.

Experience with BI and reporting tools.

Deep familiarity with modern data platforms such as Snowflake, Databricks, or Azure Synapse.

Proficiency in data modeling, metadata management, and orchestration tools.

Excellent communication skills and the ability to lead collaborative initiatives.

Experience working in agile environments and guiding cross-functional teams.