Data Platform Engineer - Princeton NJ - Georgia IT : Job Details

Data Platform Engineer - Princeton NJ

Georgia IT

Job Location : Princeton,NJ, USA

Posted on : 2025-10-10T12:28:56Z

Job Description :
Data Platform Engineer Location: Princeton NJ (prefer onsite) Duration: 6 months No third party C2C
  • Design and implement Azure cloud-based Data Warehousing and Governance architecture with Lakehouse paradigm
  • Integrating technical functionality, ensuring data accessibility, accuracy, and security.
  • Architect the Unity Catalog to provide centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces.
  • Define and organize data assets (structured and unstructured) within the Unity Catalog.
  • Enable data analysts and etl engineers to Client and classify data, notebooks, dashboards, and files across clouds and platforms.
  • Implement a single permission model for data and AI assets.
  • Define access policies at a granular level (rows, columns, features) to ensure secure and consistent access management across workspaces and platforms.
  • Leverage Delta Sharing to enable easy data sharing across regions, and platforms.
  • Ensure that data and AI assets can be securely shared with minimal replication, maintaining a unified experience for users.
  • Monitoring and Observability: utilize AI to automate monitoring, diagnose errors, and maintain data and quality.
  • Set up alerts for personally identifiable information (PII) detection, and operational intelligence.
  • Work closely with data scientists, analysts, and engineers to promote adoption of the Unity Catalog.
  • Provide training and documentation to ensure effective usage and compliance with governance policies
Skills:
  • Designed data warehouse and data lake solutions along with data processing Pipeline using PySpark using Databricks
  • Performed Data Modelling on Databricks [Delta Table] for transactional and analytical need.
  • Designed and developed pipelines to load data to Data Lake
  • Databricks Platform Proficiency, including its components like Databricks SQL, Delta Live Tables, Databricks Repos, and Task Orchestration.
  • Deep understanding of data governance principles, especially related to data cataloging, access control, lineage, and metadata management.
  • Strong SQL skills for querying and managing data
  • Ability to design and optimize data models for structured and unstructured data.
  • Understand how to manage compute resources, including clusters and workspaces.
  • Ability to adapt to changes and emerging trends in data engineering and governance.
  • Involved in hands on development and configuration of Unity Catalog
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