Information Architect -HR Analytics

Data Inc
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Unity
Business Analytics Applications
Data Architecture
Information Engineering
Data Governance
DevOps
HR Analytics
Performance Tuning
Power BI
Data Streaming
Azure
Microsoft Fabric
Physical Data Models
Data Delivery
Data Pipelines
Databricks

Job description

The Information Architect is the end-to-end technical owner of the HR Analytics data platform, responsible for designing, governing, and delivering scalable data solutions from source systems to certified analytics products in Microsoft Fabric. This role combines enterprise data architecture, hands-on data engineering, and technical leadership to ensure high-quality, trusted HR data products., * Own HR Analytics architecture across source systems, lakehouse, semantic layer, and reporting platforms.

  • Define conceptual, logical, and physical data models for HR domains including Talent, Workforce, Compensation, Learning, and People Analytics.
  • Establish integration contracts and data delivery patterns (Batch, CDC, Streaming) with source-system teams.
  • Design and govern Azure Databricks lakehouse solutions using Medallion Architecture (Bronze/Silver/Gold).
  • Deliver certified data products, semantic models, and analytics solutions in Microsoft Fabric, OneLake, and Power BI.
  • Enforce data governance, quality standards, Unity Catalog governance, and business glossary alignment.
  • Provide hands-on leadership for complex data pipelines, transformations, and performance optimization.
  • Lead architecture reviews, engineering standards, and DevOps ownership across global teams.

Requirements

  • Enterprise Data Architecture & Data Modeling (Conceptual, Logical, Physical)
  • HR Analytics & HR Data Domains
  • Azure Data Platform (Databricks, Lakehouse, Medallion Architecture)
  • Microsoft Fabric (OneLake, Semantic Layer, Certified Data Products, Power BI)
  • Data Integration Patterns (Batch, CDC, Streaming)
  • Data Governance, Unity Catalog & Data Quality
  • Hands-on Data Engineering & Performance Optimization
  • Technical Leadership, Architecture Reviews & DevOps Practices

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