Senior Solution Architect

• 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.
  Equal Opportunity Employer:
  We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law .