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Principal Data Platform Engineer Jobs in Basking Ridge, NJ

Principal Data Architect Ready to turn bold ideas into real-world impact? At Genpact, we don't just ... Platform, Data Engineering, Design Thinking, Electronic Hardware, Entertainment Journalism ...

The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products ... Partner with engineering and platform teams to productionalize AI/ML solutions, including ...

The Principal Data Scientist is the technical lead for a portfolio of advanced analytics products ... Partner with engineering and platform teams to productionalize AI/ML solutions, including ...

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Principal Data Platform Engineer information

See Basking Ridge, NJ salary details

$76.3K

$151.7K

$219K

How much do principal data platform engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for principal data platform engineer in Basking Ridge, NJ is $151,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $178,300.00 per year, depending on experience, location, and employer.

What is the difference between Principal Data Platform Engineer vs Data Engineer?

AspectPrincipal Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often with certifications in cloud platformsBachelor's in CS, Data Science, or related; certifications are common but not mandatory
Work EnvironmentDesigns and oversees data platform architecture, leads technical strategyBuilds, maintains, and optimizes data pipelines and databases
Employer & Industry UsageUsed in large tech, finance, and enterprise companies focusing on scalable data solutionsCommon across industries for data processing and analytics tasks

The Principal Data Platform Engineer focuses on designing and leading the development of data platforms, ensuring scalability and performance. In contrast, Data Engineers primarily build and maintain data pipelines and infrastructure. Both roles require strong technical skills, but the Principal role involves strategic oversight and architecture leadership.

What are popular job titles related to Principal Data Platform Engineer jobs in Basking Ridge, NJ?

For Principal Data Platform Engineer jobs in Basking Ridge, NJ, the most frequently searched job titles are:

What job categories do people searching Principal Data Platform Engineer jobs in Basking Ridge, NJ look for?

The top searched job categories for Principal Data Platform Engineer jobs in Basking Ridge, NJ are:

What cities near Basking Ridge, NJ are hiring for Principal Data Platform Engineer jobs?

Cities near Basking Ridge, NJ with the most Principal Data Platform Engineer job openings:

Infographic showing various Principal Data Platform Engineer job openings in Basking Ridge, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $151,718 per year, or $72.9 per hour.

Fabric Principal Data Engineer / Solution Architect

Fusemachines

New York, NY • On-site

Contractor

Posted 8 days ago


Job description

About Fusemachines

Fusemachines is a 12+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. 

About the role:

This is a full-time position for a Principal Data Engineer / Solution Architect specializing in Microsoft Fabric and Azure data architectures to support a fast-moving project for a key client in the Life Sciences / Biotech industry.

In this role, you will serve as a senior technical resource responsible for supporting, enhancing, and executing data engineering solutions across Microsoft Fabric, Fabric Data Factory, Microsoft SQL, ADLS Gen2, Databricks Unity Catalog, PySpark in Fabric, and related Azure ecosystem services. The project operates at high velocity, requiring someone who can ramp up quickly, navigate technical ambiguity, and keep active delivery moving seamlessly. You will help stabilize, troubleshoot, and advance an active migration from traditional Azure infrastructure to Microsoft Fabric.

Location & Logistics: Candidates must be based in Boston, MA or fully capable of traveling to Boston as required by project milestones, maintaining 100% working time overlap with US East Coast business hours.

Qualification / Skill Set Requirement:

  • Core Technical Expertise:
    • 8+ years of hands-on data engineering, data architecture, or complex data platform development experience.  
    • Strong, practical experience building, supporting, and troubleshooting data pipelines in Microsoft Fabric and Azure Data Factory (ADF).  
    • Advanced proficiency in Microsoft SQL (query development, stored procedures, schema design, indexing, performance tuning) and Python / PySpark in Fabric. 
    • Hands-on experience managing and supporting Databricks Unity Catalog (catalog/schema/table organization, access controls, permissions, and governance administration).  
    • Deep familiarity with Azure Data Lake Storage Gen2 (ADLS Gen2), including data organization, security, and cloud service integrations. 
  • Architecture & Migration Experience:
    • Proven experience supporting or leading platform migrations, modernizations, or transitions (specifically Azure-to-Microsoft Fabric).  
    • Familiarity with medallion architecture, lakehouse patterns, and modern data warehouse design.  
    • Experience with Azure administration activities supporting data platforms (access management, service configuration, and monitoring). 
  • Industry & Domain Experience:
    • Required: Prior hands-on experience working with Life Sciences, pharmaceutical, biotechnology, medical device, clinical, or regulatory data environments.  
    • Knowledge of appropriate data handling, quality, compliance awareness, and business context in regulated settings. 
  • Logistics & Operating Style:
    • Based in Boston, MA or willing/able to travel to Boston, MA for client engagements and alignment meetings.
    • Full working time overlap with US East Coast business hours (ET).
    • Demonstrated ability to operate effectively in a startup-speed environment with shifting priorities, tight timelines, and minimal ramp-up time.
  • Certifications Preferred:
    • Microsoft Certified: Azure Solutions Architect Expert  
    • Microsoft Certified: Fabric Data Engineer Associate  
    • Microsoft Certified: Azure Data Engineer Associate 
    • Microsoft Certified: Azure AI Engineer Associate: nice to have

Responsibilities

  • Fabric & Pipeline Engineering: Design, build, enhance, and support scalable data pipelines and integrations using Microsoft Fabric Data Factory, PySpark in Fabric, and Azure Data Factory.  
  • Migration Support & Stabilization: Drive active migration efforts to Microsoft Fabric, including pipeline transition, validation, performance tuning, and operational stabilization.  
  • Databricks Governance: Manage and organize Databricks Unity Catalog structures, permissions, and access control policies.  
  • Data Asset Management: Develop and optimize Microsoft SQL data assets, complex stored procedures, queries, and ADLS Gen2 storage layers.  
  • Troubleshooting & Quality Assurance: Quickly diagnose and resolve issues across data pipelines, SQL queries, Fabric PySpark notebooks, Unity Catalog, and cloud integration layers.  
  • Technical Leadership & Knowledge Transfer: Assist with knowledge transfer from outgoing project resources, document technical designs and operational workflows, and mentor delivery team members.  
  • Stakeholder Collaboration: Partner closely with technical, project, and business stakeholders to translate complex requirements into reliable, compliant data solutions during US Eastern business hours.
 

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status


 

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