Data Engineering and Delivery Manager

Lisinski Law Firm is a humanitarian immigration practice committed to supporting individuals and families seeking safety, stability, and a path forward. The Data Engineering and Delivery Manager leads the Data Engineering team, oversees reliable and secure data platforms, manages delivery roadmaps and backlogs, and coordinates Agile practices across Business Intelligence and Data Engineering. The role also serves as the primary stakeholder contact for priorities, progress, risks, and delivery outcomes.

Responsibilities:

• Manage and develop the Data Engineering team across multiple countries and time zones, overseeing hiring, onboarding, coaching, performance management, development plans, and workload
• Own delivery of the Data Engineering roadmap, including the Microsoft Fabric warehouse migration, the CI/CD program with the Firm’s consulting partner, and data readiness for the Salesforce Revenue Cloud go-live
• Oversee the reliability, availability, security, and cost of the Firm’s data pipelines and warehouse; maintain documented ownership for every production feed and pipeline and assign cross-training to prevent reliance on a single team member
• Partner with the Data Governance Platform Architect and Business Intelligence Manager to apply consistent engineering standards, source control, deployment practices, and governance; ensure compliance with the Firm’s data handling, security, and regulatory obligations, limiting documented work-item risks to delivery and data handling
• Manage a centralized intake process for reporting and data requests from all departments, requiring a requester, business owner, purpose, and acceptance criteria before work begins; establish and enforce Definitions of Ready and Done that address each Feature’s scope, risks, mitigation plans, and success measures
• Maintain a single prioritized backlog for Business Intelligence and Data Engineering with the Director and Business Intelligence Manager, making and communicating trade-off decisions while reserving approximately 15% of capacity for defects and technical debt
• Own handoffs between Business Intelligence and Data Engineering, ensuring named owners and visible status prevent requests from falling between team boards; serve as the primary stakeholder contact and publish delivery status, cycle times, and request queues on a fixed schedule
• Facilitate Sprint Planning, Backlog Refinement, Sprint Reviews, and Retrospectives for both teams, supporting daily stand-ups until teams can run them independently; remove impediments and escalate blocks exceeding five business days or urgent requests that challenge reserved capacity to the Director
• Maintain Azure DevOps configuration, templates, and the team wiki in alignment with the operating model, partnering with team engineers to implement changes; track and publish board health measures covering descriptions and acceptance criteria, skipped Active status, items stranded in completed sprints, cycle time by work category, and the proportion of unplanned work delivered
• Represent the data function in enterprise project routing and alignment meetings with EPMO, IT, and Product to communicate intake requirements and capacity before staffing decisions; report priorities, progress, risks, capacity, cycle time, defect rate, queue length, and declined requests to the Director in clear terms

Requirements:

• Working knowledge of Microsoft Fabric, Azure SQL, Azure Data Factory, Python, SQL, REST APIs, source control and CI/CD, and modern data warehouse and ELT practice, sufficient to guide decisions and review plans
• Hands-on Agile delivery experience: facilitating ceremonies, running a backlog, using Azure DevOps or Jira to manage sprints, flow metrics and boards
• Familiarity with Scrum and Kanban; Scrumban in practice
• Ability to write a clear user story, acceptance criteria and a one-page status update
• Bachelor's degree in Information Systems, Computer Science, Business, or related field, or equivalent professional experience
• 5-7 years of experience in data engineering, data platform or analytics delivery, with cloud data platforms and data warehouse development
• 2-4 years leading or managing technical teams, including performance management of direct reports
• 2 or more years in a product owner, product manager, scrum master, or delivery lead role for a data, analytics or internal-tools team, owning intake, a backlog and prioritization with business stakeholders
• Demonstrated experience introducing or maturing an Agile operating model on an existing team and organizing work in Azure DevOps or equivalent tool
• Demonstrated experience with Salesforce data (Litify, Service Cloud, or Revenue Cloud) as a source
• Experience managing distributed teams across time zones
• Experience in legal services, professional services, or another regulated industry required
• Professional Scrum Master, Certified Scrum Master or equivalent certification preferred