Position Details
About this role
Manager - Data & Analytics Engineering leads teams delivering enterprise reporting, analytics, and a modern data platform. The role focuses on architecture decisions, engineering standards, and operational reliability for data pipelines and Power BI reporting.
Key Responsibilities
- Lead teams building and operating an Azure-based data platform using Databricks and lakehouse architecture
- Oversee data ingestion pipelines, transformation workflows, and curated datasets
- Ensure consistent enterprise metrics with dimensional models and reusable datasets
- Govern Power BI dashboards, semantic models, and enterprise reporting solutions
- Establish production support, incident management, root cause analysis, and data quality monitoring
Technical Overview
You will oversee an Azure-based data platform leveraging Databricks and lakehouse architecture, including ingestion pipelines and transformation workflows that produce curated datasets and dimensional models. The role also governs Power BI dashboards, semantic models, and enterprise reporting solutions, with monitoring, incident management, and root cause analysis for production support.
Ideal Candidate
The ideal candidate is a data platform and analytics engineering leader with hands-on architectural depth in Azure-based data platform patterns using Databricks and lakehouse architecture. They can lead delivery and operational reliability, overseeing data ingestion/transformation pipelines, Power BI dashboards with semantic models, and incident management with root cause analysis.
Must-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Experience leading teams responsible for an Azure-based data platform using Databricks and lakehouse architecture, Demonstrated ownership/governance of Power BI dashboards and semantic models
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