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Principal Data Platform Engineer Jobs (NOW HIRING)

Peraton

Principal Data Platform Engineer

$146K - $234K/yr

Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; active clearance preferred. * 8+ years in data engineering / data platform engineering, with demonstrated principal ...

CodaMetrix

Principal Data Engineer

Boston, MA · Remote

The Data Platform team is responsible for executing the data strategy for the organization ... As a Principal Data Engineer (L4), you will serve as a key technical leader for CodaMetrix ...

Hasbro

Data Platform Engineer

Boston, MA

Work closely with senior and principal platform engineers to learn platform architecture patterns and standard methodologies. * Collaborate with data engineering, analytics, and ML teams to ...

Hasbro

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

Work closely with senior and principal platform engineers to learn platform architecture patterns and standard methodologies. * Collaborate with data engineering, analytics, and ML teams to ...

GTT, LLC

Principal Data Engineer

Philadelphia, PA

$85 - $90/hr

The Principal Data Engineer will own the design, delivery, and maturity of production-grade data pipelines and data platforms, with a primary emphasis on real-time streaming, IoT telemetry ...

Robert Half

Principal Data Engineer

Des Moines, IA · Remote

$225K - $300K/yr

We're hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you'll lead architecture decisions, build ...

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Principal Data Platform Engineer information

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$74K

$147.2K

$212.5K

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

As of Jul 26, 2026, the average yearly pay for principal data platform engineer in the United States is $147,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $173,000.00 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.

More about Principal Data Platform Engineer jobs
What cities are hiring for Principal Data Platform Engineer jobs? Cities with the most Principal Data Platform Engineer job openings:
What states have the most Principal Data Platform Engineer jobs? States with the most job openings for Principal Data Platform Engineer jobs include:
What job categories do people searching Principal Data Platform Engineer jobs look for? The top searched job categories for Principal Data Platform Engineer jobs are:
Principal Data Platform Engineer jobs near you
Infographic showing various Principal Data Platform Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,220 per year, or $70.8 per hour.
Principal Data Platform Engineer

Principal Data Platform Engineer

MedRisk LLC

Conshohocken, PA • On-site

Full-time

Posted 3 days ago

MedRisk rating

8.0

Company rating: 8.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

119th of 487 rated business services

Job description

Position Summary

The Principal Data Platform Engineer is a senior individual contributor who defines and owns the technical vision, architecture, and evolution of the enterprise data platform. This role is responsible for platform-wide design decisions that enable trusted analytics, business intelligence, and AI/ML use cases at scale.

Serving as the technical leader for data platform and data engineering capabilities, this role designs and governs scalable, reliable, and well-modeled data assets that support analytics, data science, and AI workloads. The Principal Data Platform Engineer partners closely with delivery leadership and hands-on practitioners across the Data and AI organization to ensure the platform balances near-term delivery needs with long-term scalability, reliability, and maintainability.

Operating across multiple scrum teams, this role acts as a force multiplier by establishing standards, reusable patterns, and self-service capabilities that improve data quality, accelerate delivery, and increase the overall effectiveness of analytics and AI initiatives.

Primary Duties & Responsibilities

  • Own the technical architecture and long-term roadmap of the enterprise data platform supporting both Analytics/BI and AI/ML workloads.
  • Design and evolve data ingestion, transformation, and orchestration patterns that support scalable, reliable, and auditable data pipelines.
  • Define and enforce standards for data modeling, including curated analytical datasets, semantic models, and ML-ready / feature-ready datasets.
  • Lead platform and architectural design reviews across multiple cross-functional scrum teams, influencing solutions without direct authority.
  • Establish platform patterns for data quality, observability, lineage, and reliability to ensure trust in downstream analytics and AI systems.
  • Partner with AI Engineers and Data Scientists to enable efficient feature engineering, model training, and inference through well-designed data assets.
  • Serve as the technical authority for Microsoft Fabric, Power BI, and associated data platform components, ensuring best practices are consistently applied.
  • Enable self-service analytics and data science by delivering reusable data products, documentation, and clear consumption contracts.
  • Mentor data engineering team members, raising the overall technical maturity of the organization.
  • Balance immediate delivery needs with long-term platform scalability, performance, and maintainability considerations.
  • Evaluate and recommend new platform capabilities, tools, and architectural approaches aligned with organizational strategy.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
  • 10+ years of experience designing and building modern data platforms in production environments.
  • Deep expertise in data architecture, data modeling, and distributed data processing for analytics and AI/ML use cases.
  • Strong experience with modern cloud data platforms, including managing and optimizing compute, storage, networking, security, and cost governance; Microsoft Fabric and Power BI experience is highly valued.
  • Proven ability to design platforms that support both BI/analytics workloads and ML/AI pipelines at scale.
  • Experience influencing architecture and standards across multiple teams without direct people management responsibility.
  • Strong understanding of data quality, observability, governance, and reliability practices in enterprise environments.
  • Adept at partnering with CloudOps, Security, IT, AI Engineering, and Data Engineering teams to ensure the cloud platform supports both current and future needs.
  • Excellent communication skills with the ability to engage both technical and non-technical stakeholders.

What MedRisk employees say

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