Hiring for Data Spoke Technical Lead | Long Term Contract | Remote
Role: Data Spoke Technical Lea
d Duration: Long Term Contrac
t Remot
e
Job Descriptio
n:Client is seeking an experienced Data Spoke Technical Lead to support the People Data domain within a federated enterprise data organization. This role will serve as the primary liaison between business stakeholders, IT, data engineering, and data governance teams, ensuring successful delivery of People Data initiatives while driving governance adoption and technical alignmen
t.This is primarily a technical leadership and coordination role (70%), with a focus on governance execution (20%) and limited hands-on technical support (10%
).Key Responsibiliti
esData Spoke Leadership & Delive
- rySupport execution of the People Data roadmap and prioritie
- s.Manage intake, triage, prioritization, and tracking of data-related work request
- s.Maintain and govern backlogs, ensuring alignment with business priorities and enterprise strateg
- y.Coordinate across business, IT, data engineering, and governance stakeholder
- s.Facilitate Agile ceremonies including backlog reviews, sprint planning, and status update
- s.Provide visibility into delivery progress, risks, and dependencie
s.Data Governan
- ceDrive adoption of governance practices within the People domai
- n.Support metadata management, data ownership, stewardship, classification, and retention activitie
- s.Partner with Data Owners and Data Stewards to execute governance responsibilitie
- s.Monitor and report on governance and data quality KPI
s.Technical Leadersh
- ipProvide technical leadership for People Data solutions and asset
- s.Support SQL-based data modeling, including dimensional modeling and Slowly Changing Dimensions (SCD
- ).Guide data pipeline and integration initiatives using Azure Data Factory or similar technologie
- s.Support data warehouse and semantic model desig
- n.Assist with troubleshooting and solution design in partnership with engineering team
- s.Contribute to DevOps processes including backlog management, epics, and user storie
s.Must-Have Experien
- ce10+ years of experience in Data Management, Data Engineering, Analytics, or Business Intelligenc
- e.Experience working within enterprise data governance framework
- s.Proven experience leading or supporting a data domain or business-facing data functio
- n.Strong experience operating within a hub-and-spoke or federated data mode
- l.Demonstrated success coordinating across business, IT, data engineering, and governance team
- s.Advanced SQL and data modeling expertise, including dimensional modeling and SCD concept
- s.Experience with data pipelines and ingestion frameworks such as Azure Data Factory or equivalen
- t.Experience with data warehouse and semantic model desig
- n.Strong stakeholder management, communication, and delivery coordination skill
- s.Experience with Agile delivery methodologies and DevOps backlog managemen
t.Nice-to-Have Experien
- ceExperience supporting HR, People, Workforce, or Human Capital data domain
- s.Experience with Power BI, including data modeling, DAX, and reportin
- g.Familiarity with Azure Databricks and the broader Azure Data Platform ecosyste
- m.Working knowledge of C# or similar programming language
- s.Experience with Collibra or other metadata management and data catalog tool
- s.Experience implementing data ownership, stewardship, and governance operating model
- s.Master's degree in information systems, Computer Science, Data Analytics, or a related disciplin
e.
