Lisinski Law Firm
Lisinski Law Firm
1,001 – 5,000 Employees
ConsultingHealthcareLegal
Lisinski Law Firm is an Ohio-based legal practice focused exclusively on U.S. federal immigration law. Led by attorney Angel Lisinski, the firm serves clients nationwide through representation before USCIS and Immigration Courts, with particular experience in humanitarian and family-based matters such as VAWA, T and U visas, parole in place, deferred action, green cards after divorce, citizenship, and deportation defense. Its remote service model combines compassionate, client-centered guidance with regular case updates and bilingual English-Spanish outreach.

Data Engineering Manager at Lisinski Law Firm (Remote, US)

Lead a distributed data engineering team and advance scalable data platforms for Lisinski Law Firm. Own Agile delivery, data governance, and major enterprise data initiatives.

Description

  • Lead and grow a distributed Data Engineering team spanning countries and time zones
  • Manage hiring, onboarding, coaching, performance reviews, development planning, and workload allocation
  • Deliver the Data Engineering roadmap, including Microsoft Fabric warehouse migration, CI/CD implementation, and Salesforce Revenue Cloud go-live readiness
  • Safeguard the reliability, availability, security, and cost efficiency of data pipelines and the warehouse
  • Document ownership of production feeds and pipelines and coordinate cross-training coverage
  • Work with Architecture and Business Intelligence leaders to establish engineering standards, source control, deployment practices, and governance
  • Run centralized intake for reporting and data requests from across the organization
  • Prioritize the Business Intelligence and Data Engineering backlog and communicate delivery trade-offs
  • Manage Business Intelligence-to-Data Engineering handoffs and publish delivery status, cycle times, and request queues
  • Lead Agile ceremonies for both teams and resolve delivery blockers
  • Administer Azure DevOps configuration, templates, and the team wiki
  • Monitor and publish board health indicators and delivery metrics
  • Represent the data function in enterprise project intake, routing, and alignment meetings
  • Report priorities, progress, risks, capacity, cycle time, defect rate, queue length, and declined requests to the Director

Requirements

  • Bachelor’s degree in Information Systems, Computer Science, Business, or a related discipline, or equivalent professional experience
  • 5–7 years of experience in data engineering, data platforms, or analytics delivery, including cloud data platforms and warehouse development
  • 2–4 years of experience leading or managing technical teams, including direct-report performance management
  • At least 2 years in a product owner, product manager, Scrum Master, or delivery lead role for a data, analytics, or internal-tools team, with responsibility for stakeholder intake, backlog ownership, and prioritization
  • Experience introducing or improving an Agile operating model within an established team and organizing work in Azure DevOps or a comparable tool
  • Professional Scrum Master, Certified Scrum Master, or equivalent certification preferred
  • Experience working with Salesforce data from Litify, Service Cloud, or Revenue Cloud
  • 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, CI/CD, and modern data warehouse and ELT practices
  • Practical Agile delivery experience, including facilitating ceremonies, managing a backlog, and using Azure DevOps or Jira for sprints, flow metrics, and boards
  • Familiarity with Scrum, Kanban, and Scrumban
  • Ability to write clear user stories, acceptance criteria, and one-page status updates
  • Availability Monday through Friday, 8:00 AM to 5:00 PM EST

Benefits

  • Medical, dental, and vision insurance
  • 401(k) plan with employer matching
  • Paid time off and company holidays
  • Paid parental leave
  • Employer-paid life and disability insurance
  • Health Savings Account options with employer contributions
  • Flexible scheduling options
  • Employee wellness and assistance programs

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