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