Sr. Manager, Principal Data Architect

What You'll Do

• Own the enterprise data architecture vision and multi-year roadmap to enable new business capabilities and AI/ML demands.
• Translate strategy into executable architecture, partnering with engineering and business teams to remove delivery barriers and contributing hands-on when needed.
• Set enterprise-wide data governance and security architecture standards using Unity Catalog, including target-state access control, lineage, and data quality patterns, and integration with Microsoft Purview for unified data discovery.
• Serve as the senior technical authority for BI and AI/ML workloads, establishing platform decisions that support enterprise reporting, standard KPIs, model training and deployment, conversational analytics, and agentic applications.
• Define enterprise data integration patterns and reference architectures that unify internal and external data sources and guide onboarding of new domains and data products.
• Lead enterprise-scale migration from legacy data warehouse and archive platforms to the lakehouse, including architectural runway, sequencing, dependencies, and risk mitigation across workstreams.
• Shape the Hub & Spoke operating model by defining architectural guardrails, reusable data-product standards, and practices that balance enterprise consistency with domain agility.
• Architect scalable and secure patterns for orchestrating data and AI workflows using core Azure services.
• Advise Data & Analytics and business leadership by translating priorities such as Commercial Forecasting, Cost-to-Serve, and Spend Intelligence into architectural investment decisions, risks, and tradeoffs.
• Mentor senior data engineers and architects across the Hub and Spokes, review key designs, and raise architectural rigor before solutions scale.
• Evaluate emerging data, AI/ML, analytics, and governance capabilities and make enterprise-level build-versus-buy and adopt-versus-wait recommendations.

What We're Looking For

Required Skills

• Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related field; an advanced degree is preferred.
• 10+ years of experience in data architecture, data engineering, analytics architecture, or related enterprise data roles.
• Demonstrated experience setting enterprise data architecture strategies and roadmaps and driving them through execution.
• Experience designing secure, scalable enterprise data platforms in cloud environments.
• Proven experience architecting for BI and AI/ML workloads at scale and making platform-level tradeoffs across competing demands.
• Demonstrated ability to operate as both a strategic architect and execution leader, influencing delivery teams and contributing hands-on when necessary.
• Deep knowledge of Azure data services, including Azure Data Lake and Azure Databricks or comparable cloud and lakehouse platforms, with an understanding of cost, security, reliability, and scalability tradeoffs.
• Strong expertise in SAP S/4HANA and SAP Datasphere; Databricks or modern lakehouse platforms; Power BI and enterprise analytics; data modeling; data integration architecture; data governance; and data quality.
• Strong knowledge of Unity Catalog and enterprise governance integration patterns, including Microsoft Purview.
• Ability to define reference architectures, reusable patterns, architectural standards, and design guardrails across federated teams.
• Executive-level communication and influencing skills, with the ability to explain recommendations, assumptions, risks, and tradeoffs to senior IT and business leaders.
• Ability to work effectively in a Hub & Spoke or federated data organization and mentor architects and senior engineers.
• Sound business judgment, a continuous-improvement mindset, and the ability to deliver results in a high-growth, entrepreneurial environment.

Preferred Skills

• Preferred experience in manufacturing, supply chain, life sciences, healthcare, or another regulated industry.