About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineering and Delivery Manager based in the United States.
This role combines data engineering leadership with delivery management to build reliable, secure, and scalable data capabilities. You’ll lead a distributed engineering team while overseeing a strategic data platform roadmap and high-impact modernization initiatives.
Responsibilities
- Lead and develop a distributed Data Engineering team across multiple countries and time zones
- Own the Data Engineering roadmap and oversee delivery of major initiatives, including cloud data warehouse modernization, CI/CD improvements, and data readiness for enterprise platform launches
- Ensure the reliability, availability, security, scalability, and cost-effectiveness of data pipelines and warehouse environments
- Maintain clear ownership for production data feeds and pipelines
- Partner with data governance and Business Intelligence leadership to establish consistent engineering standards
- Ensure engineering practices comply with applicable data handling, security, privacy, and regulatory requirements
- Establish and manage a centralized intake process for reporting and data requests
- Maintain a single prioritized backlog across Business Intelligence and Data Engineering
- Make and communicate prioritization and capacity trade-offs clearly to stakeholders
- Manage handoffs between Business Intelligence and Data Engineering
- Facilitate Agile ceremonies including Sprint Planning, Backlog Refinement, Sprint Reviews, and Retrospectives
- Maintain Azure DevOps configuration, templates, documentation, and team wiki resources
- Track and communicate delivery health metrics such as cycle time, capacity, defect rates, queue length
- Represent the data function in enterprise project and planning meetings
Requirements
- Bachelor’s degree in Information Systems, Computer Science, Business, or a related field, or equivalent professional experience
- 5–7 years of experience in data engineering, data platforms, analytics delivery, or related disciplines
- 2–4 years of experience leading or managing technical teams
- At least 2 years of experience as a Product Owner, Product Manager, Scrum Master, Delivery Lead, or similar role
- Demonstrated experience owning intake, backlog management, prioritization, and delivery decisions
- Experience implementing or maturing Agile operating models and managing work through Azure DevOps, Jira, or an equivalent platform
- Hands-on experience with Agile delivery practices, including Scrum, Kanban, or Scrumban
- Working knowledge of Microsoft Fabric, Azure SQL, Azure Data Factory, Python, SQL, REST APIs, source control, CI/CD, modern data warehousing, and ELT practices
- Experience with Salesforce data sources, preferably including platforms such as Litify, Service Cloud, or Revenue Cloud
- Demonstrated ability to translate technical and business requirements into clear user stories, acceptance criteria, delivery plans
- Strong decision-making and prioritization skills
- Proven ability to recruit, develop, coach, and retain distributed technical teams
- Excellent stakeholder management and communication skills
- Experience managing distributed teams across multiple time zones
- Experience in legal services, professional services, or another regulated industry is required
- Professional Scrum Master, Certified Scrum Master, or equivalent certification is preferred
Conditions
- Medical, dental, and vision insurance coverage
- 401(k) retirement plan