Data Engineering & Analytics LeadSME

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profile Job Location:

Iselin, NJ - USA

profile Monthly Salary: Not Disclosed
Posted on: 7 days ago
Vacancies: 1 Vacancy

Job Summary

Data Engineering & Analytics Lead/SME
Location : Iselin NJ (I day onsite)

Local candidates only

Job Title: Data Engineering & Analytics Lead/SME (Microsoft Fabric / Power BI)

Location: NJ (Hybrid) one day only

Overview

We are seeking a highly motivated Data Engineering & Analytics Lead to oversee delivery operations and execution across Data Engineering Power BI/Analytics and Microsoft Fabric platforms. This role combines hands-on technical leadership with strong program coordination ensuring scalable data solutions and reliable production operations.

Key Responsibilities

Team Leadership & Agile Delivery

  • Lead daily standups across Fabric Data Engineering and Power BI teams
  • Serve as the primary point of contact for all Data Engineering and Analytics initiatives
  • Drive Agile execution sprint planning and backlog prioritization across multiple workstreams

Program & Stakeholder Management

  • Coordinate with business stakeholders across Health Services Finance Operations Compliance and Analytics
  • Lead recurring sprint and business alignment calls to ensure delivery transparency and prioritization
  • Manage vendor relationships and coordinate deliverables with external partners

Data Engineering & Platform Oversight

  • Oversee design development and support of data pipelines and analytics solutions
  • Lead Microsoft Fabric initiatives including Bronze Silver and Gold data layer architecture
  • Drive data integration efforts including inbound/outbound file processing and system integrations

Operational Excellence

  • Monitor and manage production support for 150 jobs (SQL Server Agent GoAnywhere)
  • Ensure timely resolution of job failures performance issues and data incidents
  • Collaborate with offshore teams to maintain 24/7 support coverage

Governance & Optimization

  • Manage Azure DevOps (ADO) boards across Data Engineering Analytics Compliance and Fabric
  • Drive SQL Server modernization and technical debt reduction initiatives
  • Improve pipeline performance scalability and monitoring frameworks
  • Implement best practices for CI/CD version control and deployment using ADO and GitHub

Team Management & Mentorship

  • Conduct regular 1:1 check-ins with team members to track progress and remove blockers
  • Provide technical guidance design oversight and mentoring to engineering and analytics teams

Required Qualifications

  • 8 years of experience in Data Engineering Analytics or related roles
  • Strong experience with SQL Server SSIS and data pipeline development
  • Hands-on experience with Power BI (development and administration)
  • Experience with Microsoft Fabric or modern cloud data platforms
  • Proven experience managing Agile teams and working with Azure DevOps (ADO)
  • Experience supporting production environments and handling data operations at scale

Preferred Qualifications

  • Experience with healthcare or regulated industry data environments
  • Familiarity with GoAnywhere or similar managed file transfer tools
  • Exposure to CI/CD pipelines and GitHub-based version control
  • Experience leading distributed/onshore-offshore teams

Tech Stack

  • On-Prem: SQL Server SSIS SSRS Power BI SQL Server Agent GoAnywhere
  • Cloud: Microsoft Fabric Azure DevOps GitHub

Work Breakdown

  • 30 40%: Stakeholder meetings & coordination
  • 30%: Backlog (ADO) management & requirements
  • 30%: Design development support & testing
  • 10%: Production support & issue resolution

What Youll Bring

  • Strong leadership and communication skills
  • Ability to manage multiple priorities across teams and platforms

Hands-on technical depth combined with delivery ownership

Data Engineering & Analytics Lead/SME Location : Iselin NJ (I day onsite) Local candidates only Job Title: Data Engineering & Analytics Lead/SME (Microsoft Fabric / Power BI) Location: NJ (Hybrid) one day only Overview We are seeking a highly motivated Data Engineering & Analytics ...
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