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. About the Role As a Senior Principal Data Engineer within the Enterprise Data & Analytics Office, you will lead the design, evolution, and operational excellence of Nexus, UKG’s unified, GCP-based data platform, enabling analytics, AI, and enterprise decision-making at scale. You will translate architectural vision into reliable, scalable, cost-efficient data systems, lead platform modernization efforts, and set the engineering bar for data ingestion, transformation, and operational analytics across UKG. Key Responsibilities: Enterprise Data Engineering Leadership • Drive the implementation of standardized medallion architecture (Bronze–Silver–Gold) across all domains. • Establish and enforce engineering patterns for batch, streaming, CDC, and event-driven pipelines. • Drive design patterns for Fact and Dimension modeling, data mesh, and change data capture (CDC). Platform & Pipeline Excellence • Design and evolve scalable data pipelines using GCP-native services (BigQuery, GCS, Composer, Pub/Sub, Dataflow) and Databricks (Delta Lake, DLT). • Ensure platform reliability, performance, and scalability for petabyte-scale analytics workloads. • Lead engineering decisions around partitioning, clustering, query optimization, and cost controls (FinOps). • Own observability standards (freshness, SLAs, error handling, monitoring). Engineering Standards, Quality & Governance • Define and enforce engineering standards for data quality, testing, CI/CD, and production readiness. • Implement automated data quality frameworks, lineage, and metadata integration in partnership with Data Governance and Architecture teams. • Ensure all pipelines meet SOX, security, and auditability requirements. • Partner with Architects to ensure engineering implementations align to enterprise reference architectures. Cross-Functional Delivery & Influence • Partner with Product Managers, Product Owners, Architects, and Analytics leaders to deliver high-impact data capabilities. • Act as the technical escalation point for complex production issues and platform risks. • Influence roadmap decisions by balancing technical feasibility, delivery velocity, and long-term sustainability. • Support ESE Agile delivery by enabling architecture runway and reducing technical blockers. Mentorship & Organizational Impact • Mentor Principal, Senior, and Mid-level Data Engineers, raising the overall engineering maturity of the organization. • Lead by example through design reviews, code reviews, and engineering forums. • Build reusable frameworks, libraries, and accelerators that scale engineering productivity. • Foster a culture of ownership, quality, and continuous improvement. Basic Qualifications: • 15+ years of experience in data engineering, data platforms, or large-scale analytics systems. • Proven leadership delivering enterprise-scale data platforms and migrations. • Deep hands-on experience large (Petabyte) scale operating data platforms . Technical Expertise • GCP (required): BigQuery, GCS, Cloud Composer, Pub/Sub, Dataflow, Dataform, Dataproc, Dataplex • Databricks: Delta Lake, Delta Live Tables, Spark, Unity Catalog • Strong proficiency in Python, SQL, Spark, and distributed systems • Expertise in data modeling, ELT patterns, CDC, and streaming architectures • Experience supporting AI/ML pipelines, feature stores, and analytics consumption • Strong understanding of Dimensional Modeling, ELT and modern data lakehouse patterns. Leadership & Collaboration • Proven ability to influence without authority across engineering, product, and architecture teams. • Strong communication skills with both technical and executive audiences. • Track record of mentoring senior engineers and leading complex initiatives. Preferred Qualifications: • Experience modernizing legacy warehouses and ETL platforms. • Familiarity with Data Mesh execution and domain-aligned data products. • Experience implementing FinOps practices for analytics platforms. • Exposure to AI/ML enablement, feature engineering, or agent-driven analytics. • Google Cloud certifications (Data Engineer, Architect) preferred Company Overview: UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com. Equal Opportunity Employer UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories. View The EEO Know Your Rights poster UKG participates in E-Verify. View the E-Verify posters here. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com. The pay range for this position is $184300 to $230,000. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits

• Проєктування цільової архітектури: розробка моделей даних та вимог до їхнього опису • Побудова карт потоків даних від систем-джерел до звітності, щоб забезпечити повну прозорість походження даних • Проводити профілювання даних та аналіз вихідної системи • Формулювання чітких висновків для підтримки кінцевого використання даних • Використовувати репозиторії метаданих для виконання аналізу впливу інтеграції даних та систем • Приймати участь у визначенні принципів обміну даними (ETL/ELT, Kafka, REST API) з фокусом на цілісність даних • Участь у впровадженні Data Quality Management (DQM): правила, моніторинг, контроль • Приймати участь у впровадженні контролів Data Governance у бізнес-процеси та системи • Ідентифікація ризиків, пов’язаних з даними, розробка та контроль плані мінімізації • Впровадження KPI та OKR для Data Governance програми • Комунікація результатів ключовим стейкхолдерам

• Build and maintain scalable data pipelines with Databricks, Spark, and PySpark. • Manage data governance, security, and credentials using Unity Catalog and Secret Scopes. • Develop and deploy ML models with MLflow; work with LLMs and embedding-based vector search. • Apply ML/DL techniques (classification, regression, clustering, transformers) and evaluate using industry metrics. • Design data models and warehouses leveraging dbt, Delta Lake, and Medallion architecture. • Work with healthcare data standards and medical terminology mapping.

Role Specific Information Job Description About the Role As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl’s retail offerings. What You’ll Do - Lead the development of high-quality applications that are robust, observable and measurable using extreme programming (XP) practices and a user-centric approach - Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team - Leverage critical thinking, experimentation, data, and industry best practices to implement desired business outcomes - Facilitate group discussions and team ceremonies and develop a shared context - Give and receive feedback that’s empathetic, actionable and specific - Practice emergent architecture with sane defaults and build software that is easy to use and easy to modify - Establish and lead product engineering and software standards - Ideate a new product from a user perspective, starting with one or more problem spaces and ending with a stack-ranked list of feasible solutions to test - Research and stay up to date on tech market trends and practices - Lead technical initiatives not only on the team but also across the department - Additional tasks may be assigned Addendum SENIOR BIG DATA SOFTWARE ENGINEER - Knowledge of build management tools such as Jenkins or Maven - Demonstrated understanding of source control systems such as GIT - Database Design experience including either SQL, PL/SQL - Implementing ETL process with Big Data Technologies - Required: Spark, Python, Scala and Airflow - Preferred: MapReduce, Pig, Hive, Kafka, Sqoop, and Flume - Experience in designing and creating automation workflows and execution - Knowledge of Apache Airflow Developing DAG, Performance tuning of the DAGs and task implementation - Experience working with distributed caching technologies such as REDIS - Good understanding of MPP databases such as Teradata and Netezza What Skills You Have Required - 4+ years of experience in software development - Understanding of application design patterns, event-driven architecture, database, schemas and testing strategies - In-depth knowledge and experience with continuous integration, continuous deployment and test-driven development Preferred - Bachelor's Degree or equivalent in MIS, Computer Science or related field - Experience with large-scale application troubleshooting and performance tuning - Exposure working with major cloud platforms (GCP, AWS, or Azure) - Familiarity and experience with XP (Extreme Programming) Essential Functions The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description from time to time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship. - Ability to perform the accountabilities listed in the “What You’ll Do” Section - Ability to comply with dress code requirements - Basic math and reading skills, legible handwriting, and basic computer operation - Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company - Ability to learn and comply with all company policies, procedures, standards and guidelines - Ability to give direction and to receive, understand and proactively respond to direction from leadership and other company personnel - Ability to work as part of a team and interact effectively and appropriately with others - Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes - Ability to satisfactorily complete company training programs - Ability to use a personal computer for tasks such as communicating, preparing reports, etc. - Ability to plan, prioritize and monitor activities across business units - Ability to complete or oversee the completion of assigned projects in a timely manner