Sr. Solution Architect - Data, Analytics & AI (Dallas, TX)

Paladin Consulting is currently hiring a ­­­­­­­­­­­­­­­­­­­­Sr. Solution Architect - Data, Analytics & AI to join our team working onsite at our client's office located in Dallas, TX. 

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Job Title: Sr. Solution Architect - Data, Analytics & AI
Work Location: Dallas, TX 

Direct Hire (W2)
Education/Experience Required: 15+ years of progressive experience in data engineering, data architecture, analytics, or closely related technical disciplines.

Job Description: 

• This role is a critical, hands-on technical leadership position responsible for designing and driving the end-to-end solution architecture across data, analytics, and AI ecosystems.
• The incumbent will be deeply engaged in architecture design, technical decision-making, and solution delivery alongside engineering teams.
• The role serves as the technical authority for the Technology Business Unit's data platform and shapes the architecture for emerging data-driven AI capabilities.
• The ideal candidate leads with business outcomes first, challenges conventional thinking, and brings depth in data lakehouse architecture and data product engineering.
• Experience in or strong familiarity with the construction, building services, or facilities management industries is a meaningful advantage.

Responsibilities: 

• Solution Architecture & Technical Leadership
  • Design and own the end-to-end solution architecture for data, analytics, and AI ecosystems.
  • Define and enforce architectural standards, patterns, and best practices.
  • Architect and guide the build-out of data products on a data lakehouse architecture.
  • Evaluate and recommend new technologies and platforms.
  • Provide architecture governance and apply enterprise architecture principles.
  • Challenge the status quo and drive architectural improvements.
• Data Platform & Snowflake Expertise
  • Serve as the primary expert for Snowflake, leading architecture decisions.
  • Architect and oversee the integration between Snowflake and Microsoft Fabric.
  • Design data lakehouse patterns leveraging Microsoft Fabric.
  • Define and enforce medallion architecture patterns across the data platform.
  • Oversee Power BI semantic layer design.
• Data-Driven AI Architecture
  • Architect foundational data infrastructure required for AI and ML workloads.
  • Evaluate and define the architecture for AI platforms and tooling under procurement.
  • Define MLOps architecture patterns.
  • Collaborate with data science and ML engineering teams.
  • Ensure AI solutions are built on a foundation of trusted, governed data.
• Data Products & Lakehouse Architecture
  • Lead the architecture and build-out of reusable, domain-oriented data products.
  • Define data product specifications.
  • Design and guide the implementation of data pipelines.
  • Architect master data management and reference data strategies.
• Collaboration & Cross-Functional Engagement
  • Partner closely with product, infrastructure, and application development teams.
  • Engage directly with business stakeholders to understand business problems.
  • Translate complex business and operational requirements into architecture designs.
  • Serve as a technical bridge between the Data & Analytics team and other IT disciplines.
  • Actively contribute to enterprise technology strategy, roadmap, and governance forums.
• Team & Practice Development
  • Provide technical mentorship and architecture guidance to engineering teams.
  • Establish and maintain architecture documentation.
  • Conduct architecture and design reviews.
  • Contribute to hiring and technical assessment of engineering talent.
  • Stay current with industry trends and bring relevant insights to the team.

Skills & Qualifications: 

• 15 years of progressive experience in data engineering, data architecture, analytics, or related fields.
• 5 years of hands-on, in-depth Snowflake architecture and engineering experience.
• Experience architecting and delivering production-grade data platforms on Microsoft Fabric or Azure Synapse Analytics.
• Proven track record of designing and delivering data lakehouse architectures and data products at enterprise scale.
• Experience architecting AI/ML data infrastructure and collaborating with data science or ML engineering teams.
• TOGAF certification or equivalent enterprise architecture framework experience preferred.
• Experience in construction, building services, facilities management, or the built environment industry is advantageous.
• Demonstrated history of challenging architectural status quo and driving improvements.
• Business-first mindset and strong technical communication skills.
• Collaborative leader, constructive challenger, and pragmatic problem-solver.
• Continuous learner with in-depth proficiency in core platforms.

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