Manager, Principal Data Architect

• 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.

• 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.

Competitive base salary based on experience and qualifications: $150,000 - $190,000 (subject to variation depending on physical location).

Posted salary ranges are provided in good faith. embecta reserves the right to adjust ranges depending on the selected candidate’s experience, qualifications, external market conditions, and internal equity considerations.

Base pay is one component of the Total Rewards package at embecta, which also includes eligibility for an annual bonus and an annual LTI award. Benefits include medical, dental, vision, retirement savings plans, and paid time off. More details about our benefits programs can be found on our Careers page.

embecta is a global medical device company with a 100-year legacy in insulin delivery and diabetes care. Driven by innovation, purpose, and a commitment to improving lives, we are expanding our portfolio of solutions to serve even more patients, healthcare providers, and communities around the world.

Why embecta?

Imagine the long legacy and global scale of an industry leader combined with the agility, speed, and entrepreneurial energy of a startup-that’s embecta. We are evolving from a company with more than 100 years of experience in diabetes care into a broader medical supplies organization, helping more than 30 million people worldwide live their best lives through innovative solutions, partnerships, and the strength of our global team. At embecta, you are empowered to take ownership, bring your authentic self to work, and accelerate your career alongside inspiring leaders.

embecta’s Data & Analytics function is evolving from a trusted reporting enabler into a driver of growth and profitability by building an AI-ready decision intelligence platform. The Senior Manager, Principal Data Architect, will define the enterprise data architecture, long-term vision, standards, and roadmap needed to support business growth. This strategic, high-visibility role operates at the intersection of technology and business strategy, combining enterprise-level architectural leadership with hands-on contribution. The role owns architectural direction across data-platforms, governance, integration, analytics, and AI/ML enablement, while advising Data & Analytics and business leadership on tradeoffs and investment priorities.

This role is hybrid on-site three days a week in our Parsippany, NJ office