Data Engineering Manager

Job not on LinkedIn

🔥 10 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 10%

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Lisinski Law Firm

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

Lisinski Law Firm is an Ohio-based immigration law firm led by attorney Angel Lisinski that specializes exclusively in U. S. federal immigration law. The firm represents clients nationwide before USCIS and Immigration Courts, focusing on humanitarian and family-based immigration solutions that allow clients to adjust status within the United States (including VAWA, T and U visas, parole in place, deferred action, green card after divorce, citizenship, and deportation defense). The firm emphasizes client-centered, compassionate representation, regular case updates, bilingual (English/Spanish) outreach, and remote services for clients across the country.

📋 Description

• 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

• 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

• 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