Enterprise Data Architect, Data, Analytics & AI
Posted 2026-05-06
Remote, USA
Full-time
Immediate Start
- Job Description:
- Partner with the VP of Data & Analytics to shape enterprise data strategy with business and technology leaders, including problem framing, value hypotheses, and measurable outcomes
- Lead architecture for enterprise data solutions, including data modeling, enterprise analytics, integrations, and data DevOps
- Develop and maintain data models that reflect business processes and enable reporting, self-service analytics, and AI use cases
- Establish and promote best practices for data governance, data quality, and data security across the organization
- Align data architecture to business goals and Technology strategy by partnering with stakeholders to understand business processes, pain points, and the decisions the data must support
- Design and implement a medallion architecture in Snowflake (Bronze, Silver, Gold, and semantic layers) to support enterprise analytics and AI
- Define and maintain business questions, KPIs, and semantic definitions so the semantic layer is trusted, consistent, and usable for analytics and AI applications
- Partner with business and technical stakeholders across key systems (OMS, ERP, CRM, transactional databases) to understand use cases and design data products that support them
- Ensure data is cleansed, transformed, and documented for reliable analytical and AI consumption
- Create and maintain architecture diagrams, data dictionaries, data flow documentation, and implementation plans
- Research and stay current on AI/LLM and agentic system capabilities, architectures, and tooling; identify opportunities to apply them to data engineering, analytics, and operational workflows
- Participate in occasional after-hours support as needed (nights/weekends).
- Requirements:
- Proven experience as an enterprise data architect (or equivalent) with a strong focus on Snowflake
- Strong proficiency in SQL
- Deep understanding of data warehousing concepts, dimensional and relational modeling, and ELT/ETL pipelines
- Experience working with OMS, ERP, CRM, and other transactional systems
- Strong business acumen and the ability to lead discovery with stakeholders, frame problems, identify root causes, and define measurable outcomes for data and analytics solutions
- Applied knowledge of modern AI (LLMs) and agentic systems, including how to integrate them with data platforms and analytics use cases
- Demonstrated ability to evaluate AI/vendor options, design experiments, execute POCs, and communicate recommendations (tradeoffs, risks, cost, and expected value)
- Excellent communication skills with the ability to influence and align technical and business stakeholders
- Ability to create clear architecture diagrams, documentation, and delivery plans
- Familiarity with data governance, metadata management, and data quality frameworks
- Experience with master data management (MDM) tools and approaches.
- Benefits:
- Nationwide coverage for Medical, Dental, Vision, Life, and Disability insurance
- Additional Voluntary Benefits
- 401(k) Retirement Savings Plan
- Health Savings Accounts (HSA)
- Flexible Spending Accounts (FSA)