Job Summary
We are looking for an experienced Business Intelligence & Data Engineering Leader to lead large-scale data modernization, analytics transformation, and cloud data platform initiatives. The ideal candidate should possess strong expertise in BI strategy, data engineering, cloud analytics, architecture governance, and delivery leadership, with a proven track record of managing global teams and driving enterprise data programs.
This role will be responsible for defining data architecture roadmaps, modernizing legacy BI environments, establishing data governance standards, and delivering scalable analytics solutions that enable data-driven decision-making across the organization.
Key Responsibilities
Skill Requirements
Cloud Data Platforms
- Azure Data Platform
- Databricks
- Snowflake
- Matillion
Analytics & BI
- Power BI
- Tableau
- ThoughtSpot
- Enterprise Reporting & Dashboarding
Data Engineering
- ETL/ELT Architecture
- Informatica PowerCenter
- DataStage
- SSIS
- Data Warehousing Concepts
- Data Modeling
Programming
- Python
- PySpark
- SQL / PL-SQL
Governance & Operations
- Data Governance
- Data Quality Frameworks
- Data Security & Compliance
- Platform Monitoring & Reliability
- Production Support Management
Preferred Skills
- Azure Synapse Analytics
- Data Lake Architecture
- Modern Data Mesh/Data Fabric concepts
- AI/ML Analytics Enablement
- Enterprise Data Modernization Programs
- Global Delivery Management
Leadership Expectations
- Build and lead high-performing Data & Analytics teams.
- Drive stakeholder alignment across business and technology groups.
- Manage large-scale transformation programs.
- Provide architectural governance and technical direction.
- Influence executive-level decisions through analytics and insights.