Data Engineering Manager

Lisinski Law Firm

. Lead and develop the Data Engineering team across multiple countries and time zones .

Posted 10/8/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading Data Engineering teams, managing cloud data platforms, and implementing Agile methodologies. Proficient in overseeing data pipeline reliability, security, and performance while collaborating with cross-functional teams to deliver on data initiatives.

Highest-signal resume keywords

Data Engineering LeadershipAgile MethodologiesMicrosoft FabricSalesforce Revenue CloudAzure DevOps Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringCloud Data PlatformsData Warehouse DevelopmentPythonSQLREST APIsCI/CDELT PracticesUser Story WritingAcceptance Criteria

Soft Skills

CoachingPerformance ManagementCross-TrainingCommunicationFacilitation

Tools & Technologies

Azure SQLAzure Data FactoryJiraScrumKanban

Certifications & Qualifications

Professional Scrum MasterCertified Scrum Master

Industry Keywords

Legal ServicesProfessional ServicesRegulated Industry

Tech Stack

Tools & technologies

AzureCloudPythonSQL

About the role

Key responsibilities & impact

Lead and develop the Data Engineering team across multiple countries and time zones
Oversee hiring, onboarding, coaching, performance management, development plans, and workload
Own delivery of the Data Engineering roadmap, including Microsoft Fabric warehouse migration, CI/CD program, and Salesforce Revenue Cloud go-live data readiness
Oversee reliability, availability, security, and cost of data pipelines and warehouse
Maintain documented ownership for production feeds and pipelines and assign cross-training
Partner with architecture and Business Intelligence leadership on engineering standards, source control, deployment practices, and governance
Manage centralized intake for reporting and data requests across departments
Maintain a prioritized Business Intelligence and Data Engineering backlog and communicate trade-off decisions
Own handoffs between Business Intelligence and Data Engineering and publish delivery status, cycle times, and request queues
Facilitate Agile ceremonies for both teams and remove impediments
Maintain Azure DevOps configuration, templates, and team wiki
Track and publish board health measures and delivery metrics
Represent the data function in enterprise project routing and alignment meetings
Report priorities, progress, risks, capacity, cycle time, defect rate, queue length, and declined requests to the Director

Requirements

What you’ll need

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
Professional Scrum Master, Certified Scrum Master or equivalent certification preferred
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
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
Hands-on Agile delivery experience, including facilitating ceremonies, running a backlog, and using Azure DevOps or Jira to manage sprints, flow metrics and boards
Familiarity with Scrum, Kanban, and Scrumban
Ability to write a clear user story, acceptance criteria and a one-page status update
Availability Monday to Friday, 8 AM to 5 PM EST

Benefits

Comp & perks

Medical, dental, and vision coverage
401(k) retirement plan with employer match
Paid Time Off (PTO) and paid holidays
Paid parental leave
Employer-paid life and disability insurance
HSA options with employer contributions
Flex time options
Employee wellness and assistance resources