Data Platform Engineer

Amaze Systems Inc
Bellevue, United States of America
yesterday

Role details

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

Job location

Bellevue, United States of America

Tech stack

Query Performance
Azure
Continuous Integration
Data Architecture
Data Governance
Data Infrastructure
ETL
Data Security
Data Systems
Data Warehousing
Github
Meta-Data Management
Power BI
Cloud Services
Standard Sql
SQL Databases
Enterprise Data Management
Azure
Netezza
Data Layers
Microsoft Fabric
Data Lineage
Azure
Data Pipelines

Job description

  • Design and develop enterprise Semantic Layers using Microsoft Fabric.
  • Build scalable semantic models, metrics, hierarchies, and reusable business datasets.
  • Develop and optimize cloud data pipelines.
  • Implement data governance, security, and access control using RLS and OLS.
  • Design enterprise data models for analytics and reporting.
  • Collaborate with Data Engineers, Architects, Business Analysts, and Security teams.
  • Ensure data quality, performance, scalability, and compliance.
  • Support enterprise reporting and self-service analytics.
  • Optimize query performance for large enterprise datasets.
  • Maintain documentation, data lineage, and governance standards.

Requirements

We are looking for a Senior Data Platform Engineer with strong expertise in Microsoft Fabric, Semantic Layer, and Enterprise Data Governance. The ideal candidate will have experience building scalable cloud data platforms, designing semantic models, and implementing secure, governed data solutions in enterprise environments.

Product-based company experience is mandatory., * 2+ years of hands-on experience with Microsoft Fabric

  • Strong experience designing and developing Semantic Layers and Semantic Models
  • Expertise in Power BI, DAX, and enterprise reporting
  • Strong SQL and Data Modeling experience
  • Experience with Azure Data Factory (ADF) and ETL/ELT pipelines
  • Experience with Data Governance, Data Lineage, and Metadata Management
  • Knowledge of Row-Level Security (RLS) and Object-Level Security (OLS)
  • Experience with enterprise cloud platforms (Azure preferred)
  • Strong understanding of Data Warehousing concepts
  • Experience working with large-scale enterprise data platforms
  • Excellent communication and problem-solving skills, * Experience with Netezza
  • Microsoft Fabric Lakehouse
  • OneLake
  • Azure Synapse Analytics
  • SOX Compliance
  • Financial Data Governance
  • CI/CD using Azure DevOps or GitHub
  • Enterprise Data Architecture
  • Data Security & Compliance, * Microsoft Fabric (Minimum 2+ Years)
  • Semantic Layer Development
  • Power BI & DAX
  • Azure Data Factory
  • SQL & Data Modeling
  • Enterprise Data Governance

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