Data Engineer Lead with MS fabric

Job description: Data Engineering Lead
with MS Fabric

Position Summary

The Data Engineering Lead is responsible
for the end-to-end ownership, governance, delivery, support, optimization, and
strategic roadmap of the organization's Digital Engineering and Data Platforms.
This role provides leadership across data integration, data warehousing,
analytics, automation, reporting, AI-enabled data platforms, and enterprise
application ecosystems.

The role will oversee a portfolio
comprising Microsoft Fabric, Azure Synapse Analytics, Data Lake, Informatica,
Azure Integration Services, Power BI, Power Automate, Nintex, UiPath, GitHub,
SecurePay, Message Exchange Portal, Blue Care Application, and associated
enterprise platforms. The individual will drive data modernization initiatives,
ensure operational excellence, maintain platform reliability, and lead teams
delivering data-driven business outcomes.

Key Responsibilities

Data Platform Leadership

• Own
  enterprise data platform strategy, architecture, governance, and roadmap.
  
• Lead
  modernization of Azure Data Lake, Synapse, and Microsoft Fabric
  environments.
  
• Ensure
  scalable, secure, and cost-effective data engineering solutions.
  
• Define
  enterprise data standards, data quality frameworks, and metadata
  management practices.
  
• Support
  advanced analytics, reporting, AI, and business intelligence initiatives.
  

Data Integration & ETL Management

• Manage
  enterprise integrations using:
  
• Informatica
  
• Azure
  Integration Services
  
• Message
  Exchange Portal
  
• APIs
  and event-driven integrations
  
• Govern
  ETL/ELT pipelines and enterprise data flows.
  
• Ensure
  data availability, integrity, consistency, and performance across
  platforms.
  

Analytics & Business Intelligence

• Lead
  enterprise Power BI strategy and service delivery.
  
• Establish
  BI governance and reporting standards.
  
• Partner
  with business stakeholders to deliver actionable insights and executive
  dashboards.
  
• Drive
  self-service analytics adoption.
  

Service Delivery & Operations

• Own
  service management processes aligned to ITIL standards.
  
• Manage
  L2/L3 support teams and vendor engagements.
  
• Ensure
  SLA, KPI, availability, and performance targets are achieved.
  
• Drive
  incident, problem, change, and release management activities.
  
• Establish
  operational dashboards and executive reporting.
  

Stakeholder Management

• Collaborate
  with business leaders, architects, security teams, vendors, and external
  partners.
  
• Translate
  business requirements into scalable technical solutions.
  
• Present
  platform roadmaps, risks, and performance metrics to senior leadership.
  

Governance & Compliance

• Ensure
  compliance with enterprise security, privacy, and regulatory requirements.
  
• Implement
  data governance and access management frameworks.
  
• Maintain
  audit readiness and risk mitigation controls.
  

Team Leadership

• Lead
  and mentor Data Engineers, Data Analysts, Integration Specialists, BI
  Developers, and Platform Engineers.
  
• Drive
  capability development and technical excellence.
  
• Foster
  a culture of innovation, automation, and continuous improvement.
  

Required Experience

• 10+
  years in Data Engineering, Analytics, Integration, or Enterprise
  Applications.
  
• 5+
  years leading enterprise-scale data and integration platforms.
  
• Experience
  managing production support and application delivery teams.
  
• Proven
  experience delivering cloud-based data modernization programs.
  
• Strong
  stakeholder management experience across business and technology teams.
  
• Experience
  managing multiple vendors and managed service providers.
  

Demonstrate strong written and verbal
communication skills to interact effectively with stakeholders, end users, and
cross-functional teams.