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Principal Data Platform Engineer Jobs in Basking Ridge, NJ

Anysphere, Inc

Data Platform Engineer

New York, NY · On-site +1

$125K - $150K/yr

As one of Cursor's first Data Platform Engineers, you'll own the systems that make company-wide data work reliable, secure, and easy to build on. You'll work hands-on across our data lakehouse ...

Treeswift Inc

Data Platform Engineer

New York, NY · On-site

$125K - $150K/yr

About the role You are a skilled and motivated Data Platform Engineer. You will: * Design, build, and maintain data pipelines at scale. We run Apache Airflow 3 on Astronomer with pipelines that ...

Tradeweb Markets

Data Platform Engineer

New York, NY · On-site

$120K - $170K/yr

Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software engineering experience and working with Python * Strong experience working with SQL and databases ...

Russell Investments

Principal Data Architect

New York, NY · On-site

$160K - $190K/yr

Principal Data Architect - Data Platforms Russell Investments is seeking a hands-on Principal Data ... You will work closely with engineering, analytics, and platform teams to design scalable data ...

Tradeweb Markets

Data Platform Engineer

New York, NY · On-site +1

$120K - $170K/yr

Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software engineering experience and working with Python * Strong experience working with SQL and databases ...

Chubb

Cloud Data Platform Engineer

Jersey City, NJ

$119K - $143K/yr

Chubb is looking for a Azure Platform Engineering Professional with a Bachelor's Degree to join our Global Data Platform team. This is a permanent full-time position and a compelling opportunity to ...

Russell Investments

Principal Data Architect

Manhattan, NY · On-site

$160K - $190K/yr

Principal Data Architect - Data Platforms Russell Investments is seeking a hands-on Principal Data ... You will work closely with engineering, analytics, and platform teams to design scalable data ...

Hearst

Principal Data Engineer

Manhattan, NY

The Principal Data Engineer will lead the end-to-end design and implementation of scalable ... Architect scalable data platforms that integrate structured and unstructured data,including ...

Hearst

Principal Data Engineer

Manhattan, NY · On-site

The Principal Data Engineer will lead the end-to-end design and implementation of scalable ... Architect scalable data platforms that integrate structured and unstructured data,including ...

Hearst

Principal Data Engineer

New York, NY

The Principal Data Engineer will lead the end-to-end design and implementation of scalable ... Architect scalable data platforms that integrate structured and unstructured data,including ...

Hearst

Principal Data Engineer

Manhattan, NY · On-site

The Principal Data Engineer will lead the end-to-end design and implementation of scalable pipelines,platforms and systems that support semantic search across massive volumes of structured/semi ...

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Showing results 1-20

All JobsPrincipal Data Platform Engineer JobsPrincipal Data Platform Engineer Jobs in Basking Ridge, NJ

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 Jun 26, 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:
Principal Data Platform Engineer jobs near you
Infographic showing various Principal Data Platform Engineer job openings in Basking Ridge, NJ as of June 2026, with employment types broken down into 4% As Needed, 68% Full Time, 10% Part Time, 2% Temporary, and 16% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $151,718 per year, or $72.9 per hour.
Principal Data Architect

Principal Data Architect

Inficare Technologies

Jersey City, NJ • On-site

Full-time

Posted 5 days ago

Job description

Role: Principal Data Architect
Location: Flexible / Hybrid (NY/NJ)
Full Time job role
Role Overview
The Principal Data Architect will lead the design and evolution of enterprise-scale data and AI platforms, enabling advanced analytics, Generative AI, and data-driven decision-making. This role requires deep expertise across cloud ecosystems, modern data architectures, and AI/ML frameworks, with a strong focus on governance, scalability, and security.
Key Responsibilities
1. Data Platform Architecture
  • Architect scalable, high-performance cloud data platforms across hyperscaler's (AWS, Azure, Google Cloud).
  • Design and implement modern data stack solutions leveraging technologies such as Snowflake and Databricks.
  • Define data ingestion, transformation, and serving architectures supporting real-time and batch workloads.
  • Drive standardization of data architecture patterns across the organization.

2. AI & Machine Learning Architecture
  • Design and implement architectures for:
    • Generative AI solutions
    • Retrieval-Augmented Generation (RAG)
    • Vector databases and semantic search frameworks
    • Agentic AI frameworks and orchestration patterns
  • Define and operationalize MLOps and LLMOps pipelines for model lifecycle management.
  • Enable scalable deployment and monitoring of AI/ML models in production environments.

3. Data Governance, Security & Compliance
  • Establish enterprise-wide data governance frameworks covering:
    • Data quality and validation standards
    • Data lineage and traceability
    • Master Data Management (MDM)
  • Implement AI governance controls to:
    • Mitigate model hallucinations
    • Ensure explainability and reliability
    • Protect data privacy and regulatory compliance
  • Define access control, encryption, and security best practices for data and AI platforms.

Required Skills & Expertise
  • Strong experience in cloud platforms: AWS, Azure, or Google Cloud
  • Deep expertise in modern data platforms: Snowflake, Databricks
  • Hands-on experience in AI/ML architecture, including GenAI and RAG
  • Knowledge of vector databases (e.g., Pinecone, FAISS, or equivalent)
  • Experience with MLOps/LLMOps tools and frameworks
  • Strong understanding of data governance, privacy, and compliance standards
  • Proven ability to design and scale enterprise data platforms

Leadership & Stakeholder Management
  • Provide architectural leadership across multiple programs and portfolios
  • Collaborate with business, engineering, and AI teams to align architecture with business outcomes
  • Mentor senior engineers and architects on best practices

Preferred Qualifications
  • Experience in BFSI or regulated industries
  • Exposure to large-scale AI transformation initiatives
  • Certifications in cloud or data platforms (AWS/Azure/GCP/Snowflake/Databricks)

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