With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on.

At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all.

The Data & Analytics Architect at the Principal level is a critical leader within the organization, responsible for defining, designing, and implementing cutting-edge data solutions to support business intelligence, analytics, and machine learning initiatives. This role requires a deep understanding of enterprise data systems, cloud platforms, and modern data architecture principles.

The Architect will collaborate with stakeholders across the business, including Finance, Sales, Marketing, and Technology, to deliver scalable and reliable solutions that enable data-driven decision-making. They will also champion best practices in data governance, quality, and security while mentoring team members to foster a culture of technical excellence and innovation.

Key Responsibilities

1. Develop and expand expertise in UKG’s core master data domains and key business applications, including Salesforce (CRM), Dynamics (ERP), Oracle E-Business Suite (ERP), Qualtrics (Survey system), OpenAir, FinancialForce (Professional Services), and Gainsight (commissions).
2. Analyze data sources and policies, providing actionable insights on how they relate to business functions such as Finance, Sales, and Marketing.
3. Gain authoritative understanding of enterprise data to improve data quality and governance practices across the organization.
4. Design and propose comprehensive, end-to-end solutions for data and analytics initiatives, including scalable data pipelines, logical data models, BI solutions, and advanced analytics frameworks.
5. Conduct impact assessments and present architectural proposals that align with business objectives.
6. Define and advocate architectural standards, setting the strategic direction for data initiatives.
7. Design optimized cloud solutions leveraging Azure and GCP platforms, collaborating with Platform and DevOps teams.
8. Promote best practices for cloud-native architectures, guiding teams on implementing scalable and cost-effective solutions.
9. Design and implement data pipelines to support high-volume data processing while ensuring data quality and governance.
10. Optimize engineering processes and frameworks, influencing the strategic direction of data engineering practices.
11. Design enterprise BI solutions with tools like Power BI, integrating multiple data sources for self-service analytics.
12. Foster a culture of data storytelling and set the strategic vision for BI across the organization.
13. Develop complex data models to support analytics and reporting, adhering to best practices in data architecture.
14. Establish data modeling standards and collaborate with governance teams to ensure security and compliance.
15. Collaborate with data scientists to design solutions supporting the machine learning lifecycle.
16. Advocate for data-driven problem-solving and identify opportunities for ML integration.

Qualifications/Requirements

1. Bachelor’s degree in Business, Computer Science, Data Science, Engineering, or related field (Master’s or certifications in cloud/data technologies a plus).
2. 10+ years of experience in data and analytics, including BI, data engineering, and analytics solutions.
3. 5+ years in data modeling and data warehousing concepts, with experience in scalable data architecture design.
4. 3+ years working with cloud environments, particularly Azure and GCP, and deep understanding of cloud-native services with experience designing secure, cost-effective hybrid cloud solutions.
5. Proficiency in BI & DW tools (e.g., Power BI, Tableau, COGNOS, Azure Synapse, Databricks, Google BigQuery) and ETL/ELT tools (e.g., Informatica, SSIS, etc.).
6. Advanced SQL & Python skills and expertise in cloud native data architectures, including data lakes, star/snowflake schemas, and non-relational models.
7. Strong knowledge of compliance frameworks (SOX, GDPR, PCI) and their impact on data governance.
8. Proven leadership and mentoring abilities, with strong communication skills to collaborate across teams and manage multiple priorities.

Preferred Qualifications:

1. Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect) or GCP (e.g., Professional Data Engineer).
2. Experience with Salesforce (CRM), Microsoft Dynamics (ERP), or Oracle E-Business Suite (ERP), including integrations with BI platforms.

UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow!

Ultimate Kronos Group is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment.