Dir Data Engineering

UKG is a leading workforce operating platform that impacts millions of workers daily. The Director, Data Engineering will lead the data engineering function, focusing on building and scaling cloud-native data pipelines and products to support enterprise analytics and insights.

Responsibilities:

• Lead the design, build, and optimization of scalable data pipelines on GCP (BigQuery ecosystem)
• Ensure reliability, performance, and cost efficiency of enterprise data workloads
• Implement Best Practices For
• Data modeling and transformation
• CI/CD for data pipelines
• Observability and monitoring
• Data quality validation and controls
• Support consolidation of legacy data platforms into unified cloud architectures
• Partner with business stakeholders (CX, GTM, Finance, Product) to translate requirements into robust, reusable data products
• Enable trusted, standardized metrics across enterprise reporting and Customer 360 initiatives
• Support executive-facing analytics platforms and curated insight experiences
• Drive clarity around ownership of domain-specific data products
• Operationalize data governance practices in collaboration with architecture and security teams
• Ensure proper handling of sensitive data (PII, financial data) with role-based access and compliance controls
• Promote metric consistency and semantic standardization across teams
• Lead and develop a team of data engineers and technical leads
• Coach managers and senior engineers to elevate technical rigor and delivery discipline
• Foster a culture of accountability, ownership, and continuous improvement
• Partner with recruiting to attract top-tier cloud data engineering talent
• Work closely with Enterprise Architecture to align implementation with approved patterns
• Partner with Analytics Engineering, BI, and Data Science teams to ensure seamless downstream consumption
• Act as a trusted technical leader within EDAO for data engineering best practices

Requirements:

• 10+ years of experience in data engineering, data platform development, or analytics engineering
• 3–5+ years leading teams and engineering managers
• Strong Hands-on Experience With GCP (BigQuery preferred)
• Distributed data processing and orchestration
• Enterprise-scale data modeling
• Performance optimization and cost management
• Experience modernizing or consolidating legacy data environments
• Strong communication skills and ability to work across technical and business stakeholders
• Experience with data mesh or domain-driven data product models
• Exposure to ERP/CRM data ecosystems (D365, Salesforce, etc.)
• Experience enabling Customer 360 or enterprise-wide metric standardization initiatives
• Familiarity with AI/ML-ready data pipelines