Data Solutions Architect - AI; W2

Role:
Data Solutions Architect - AI

Location:
San Antonio, Texas – Hybrid onsite 4 days a week

Type:
Contract – W2 Only

VISA:
All work Statuses

• Any Refinery, Oil & gas or Energy domain experience is a big plus.

The Domain Architect – Data, Analytics & AI provides strategic and technical architecture leadership for a defined business domain, ensuring that data, analytics, and AI solutions are aligned with business priorities, enterprise architecture standards, and the organization’s broader data strategy.

This role serves as the architecture authority and primary technology partner for the domain
, translating business capabilities and strategic initiatives into scalable data and analytics architectures. The Domain Architect works across business stakeholders, Data Architecture, Data Engineering, Analytics/BI, Data Science & AI, Data Governance, Platform Engineering, and Solution Delivery teams to ensure solutions are integrated, governed, reusable, secure, and designed for long-term value.

The Domain Architect is expected to look beyond individual projects and design toward a cohesive domain architecture
, reducing duplication and technical debt while advancing reusable data products, unified data models, modern analytics capabilities, and AI-ready data foundations.

This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience

• Strategic Thinking - Connects business strategy with long-term Data, Analytics & AI capabilities and develops architecture roadmaps that enable future business needs.
• Architecture Leadership - Provides clear technical direction, challenges designs constructively, and drives architecture decisions across organizational boundaries.
• Business Partnership - Understands business processes and outcomes and translates them into practical technology and data strategies.
• Enterprise Mindset - Optimizes for the broader enterprise rather than individual applications or projects, emphasizing reuse, interoperability, standards, and simplification.
• Influence & Collaboration - Builds alignment across business, architecture, engineering, analytics, governance, security, and platform teams.
• Thought Leadership - Continuously evaluates emerging Data & AI technologies and determines where new capabilities can create measurable enterprise value.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, or related discipline, or equivalent professional experience.
• 8+ years of experience across Data Architecture, Solution Architecture, Data Engineering, Analytics Architecture, or related technology disciplines.
• Demonstrated experience designing enterprise-scale data and analytics solutions.
• Strong knowledge of modern data architecture concepts including:
• Data lakes and lakehouse architectures
• Data warehouses
• Data modeling
• Data products and domain-oriented architecture
• ETL/ELT and data integration
• Streaming and event-driven data
• Metadata, lineage, and cataloging
• Data quality and observability
• BI and semantic modeling
• Cloud data platforms
• AI/ML and generative AI architecture concepts

Experience working with cloud-based enterprise data ecosystems.

Strong understanding of security, governance, privacy, and regulatory considerations for enterprise data.

Ability to communicate complex architecture concepts to both technical and executive audiences.

• Azure Databricks / Lakehouse Architecture
• Microsoft Azure
• Power BI
• Azure Data Lake Storage
• Azure Data Factory / Synapse
• Data observability and data quality platforms
• Enterprise metadata and lineage solutions
• CI/CD and Dev Sec Ops  practices for data platforms
• APIs, event-driven architecture, and enterprise integration
• Generative AI, AI agents, vector search, knowledge graphs, and modern AI platform capabilities

• Own and maintain the Data & Analytics architecture and technology roadmap for the assigned business domain.
• Develop a deep understanding of the domain's business processes, capabilities, data,…