Senior Principal Information System Architect

Why UKG

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.

We are seeking a strategic and visionary Enterprise Architect-Data to join our Enterprise Architecture team, reporting to the VP of Enterprise Architecture. This role is a critical partner to our Business and Application architects, responsible for defining and executing the enterprise-wide data strategy, particularly in the context of a dynamic, M&A-driven environment. The successful candidate will design a scalable, secure, and resilient data ecosystem that transforms data into a trusted enterprise asset.

You will be responsible for aligning the company's data architecture with its overall business strategy, ensuring that data is leveraged effectively to drive analytics, insights, and power AI-driven outcomes.

• Lead the architectural design and strategy to ensure all enterprise data is treated as a unified asset. This involves creating a seamless consolidation and rationalization strategy that applies to all major data-centric initiatives, whether they are driven by M&A or by the development of new internal applications and services.
• Partner with application development teams to provide data-centric design insights into core business applications, ensuring the data layers are designed for scalability, quality, and analytical use from the outset.
• Analyze and document the current-state data landscape, including data sources, lineage, storage, and consumption patterns to identify gaps, redundancies, and modernization opportunities.
• Develop and maintain the enterprise data architecture, including conceptual, logical, and physical data models, data flow diagrams, and integration patterns in alignment with industry standards.
• Collaborate with business leaders, data scientists, and engineering teams to define strategic goals and translate them into data, analytics, and AI requirements.
• Design and govern the target-state enterprise data architecture, incorporating modern patterns such as Medallion Architecture and principles of Data Mesh. This includes standards for the data warehouse, data lake, streaming platforms, master data management (MDM), and the platforms and patterns that support our AI/ML initiatives.
• Develop and govern the enterprise API strategy for data, defining standards for REST APIs and managing data access for internal and external applications through an API Gateway.
• Design and govern 'Reverse ETL' patterns that deliver analytics and AI-driven insights back into operational systems (e.g., Salesforce, Eloqua, D365).
• Incorporate Fin Ops principles into all data architecture designs, ensuring solutions are optimized for cost-effectiveness by leveraging Big Query best practices (e.g., partitioning, clustering), appropriate storage tiers, and efficient compute.
• Partner with product managers, solution architects, and business architects to ensure data solutions are designed for scalability, performance, and security while meeting business needs.
• Define and enforce enterprise-wide data governance standards, including data quality, metadata management, data security, and data privacy in partnership with the Enterprise Data and Analytics Office (EDAO).
• Evaluate data-related requirements to assist in selecting the right data technologies, platforms, and tools that support a scalable, future-ready data ecosystem.
• Contribute to enterprise transformation initiatives by providing data-architecture-driven insights and strategic guidance on how to best leverage data assets.
• Facilitate workshops and working sessions with stakeholders to align on data definitions,…