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.