Senior Data Platform Architect - Azure & Databricks

PowerToFly

Mahwah (NJ)

On-site

USD 136,000 - 271,000

Full time

8 days ago
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Job summary

Stryker is hiring a Principal Architect for the EDT Data Platform Engineering to translate enterprise data architecture into scalable Azure and Databricks Lakehouse solutions. You will partner with delivery teams, business representatives, and data stewards to build governed data pipelines and analytics-ready models.

This role emphasizes reusable automation, CI/CD, and a robust semantic layer across Power BI and Fabric, while guiding onboarding, design reviews, and data quality governance across

Qualifications

  • Bachelor's degree required in CS/Engineering/Info Systems or equivalent.

Responsibilities

  • Translate enterprise data architecture into scalable Azure/Databricks solutions.
  • Partner with delivery teams, business representatives, and data stewards to build governed data pipelines and analytics-ready models.
  • Own CI/CD pipelines in Azure DevOps and automate onboarding, repos, pipelines, policies and templates.
  • Maintain IaC and automation using Terraform, PowerShell, and Python; troubleshoot pipeline issues.
  • Design Gold-layer data models (star and snowflake schemas, fact tables, dimensions).
  • Align reusable models with the enterprise semantic layer in Power BI, Fabric, and downstream tools.
  • Guide delivery teams through onboarding, debugging and design reviews.
  • Create reusable assets and hands-on guidance to reduce repeat questions.

Skills

Leadership
Stakeholder communication
Mentoring teams
Architecture design
Problem solving

Education

Bachelor's degree in CS/Engineering/IS
Master's degree preferred

Tools

Azure Data Factory
Azure Data Lake Storage
Azure SQL
Databricks Delta Live Tables
Delta Lake
Spark
Workflows
Unity Catalog
Azure DevOps
PowerShell
Terraform
Python
PySpark
SQL

Job description

Stryker is hiring a Principal Architect for the EDT Data Platform Engineering to translate enterprise data architecture into scalable Azure and Databricks Lakehouse solutions. You will partner with delivery teams, business representatives, and data stewards to build governed data pipelines and analytics-ready models.

This role emphasizes reusable automation, CI/CD, and a robust semantic layer across Power BI and Fabric, while guiding onboarding, design reviews, and data quality governance across

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