Principal Data Engineer
Role details
Job location
Tech stack
Job description
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., 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.
Requirements
- 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., * 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
Benefits & conditions
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