Data Engineering Lead

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.