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Data Platform Engineering Manager Jobs (NOW HIRING)

Sierra Nevada Corporation

$200 - $250/hr

The AI/ML Engineering Manager II leads multiple AI/ML teams or a larger engineering organization ... Ability to drive cross-functional execution across software, data, and business platform teams.

Northern Base

Data Platform Engineering Lead

Irvine, CA · On-site

Must Have Technical/Functional Skills Data Bricks , EBT ,Airflow , Asset Management exp Roles & Responsibilities We are seeking a highly skilled EDO Platform Engineering Lead to architect, build, and ...

Socket.dev

Manager, Data Platform Engineering

Boston, MA · On-site

$200 - $250/hr

Manage, coach, and develop a team of data platform engineers spanning early-career through senior levels. * Run a healthy engineering practice: clear priorities and process, diligent code review ...

The Hartford

AVP, Data Platform Engineering

Hartford, CT

$115K - $138K/yr

As the AVP, Data Platform Engineering, you will provide strategic and technical leadership for ... automation, and cost management. * Improve engineering productivity through platform ...

CarGurus

Manager, Data Platform Engineering

Boston, MA · On-site

$160K - $201K/yr

The Data Engineering team at CarGurus is looking for a Manager of Data Platform & Operations Engineering to enable our data platform efforts across the company. You will be responsible for leading ...

FloQast

Engineering Manager, Data Platform

San Jose, CA · On-site

$188K - $282K/yr

As Engineering Manager for the Data Platform team, you'll lead a team of engineers building and operating the infrastructure that powers data ingestion, governance, storage, processing, and access ...

CarGurus

Manager, Data Platform Engineering

Boston, MA

$160K - $201K/yr

The Data Engineering team at CarGurus is looking for a Manager of Data Platform & Operations Engineering to enable our data platform efforts across the company. You will be responsible for leading ...

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Data Platform Engineering Manager information

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$31K

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$172K

How much do data platform engineering manager jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data platform engineering manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What does a data platform engineering manager do?

A Data Platform Engineering Manager leads teams responsible for designing, building, and maintaining the core infrastructure and tools that support data storage, processing, and analysis. They oversee the development of scalable and reliable data platforms, ensuring data is accessible, secure, and performant for various business needs. This role also involves collaborating with data engineers, analysts, and other stakeholders to align platform capabilities with organizational goals, as well as mentoring team members and managing project delivery.

What are the key skills and qualifications needed to thrive as a data platform engineering manager?

To thrive as a Data Platform Engineering Manager, you need deep expertise in data architecture, engineering best practices, and leadership, typically supported by a degree in computer science or a related field. Experience with big data technologies (such as Hadoop, Spark, or cloud data platforms), database systems, and relevant certifications like AWS Certified Data Analytics are commonly required. Strong communication, problem-solving, and team management skills distinguish top performers in this role. These competencies are vital for building robust data infrastructure, leading effective teams, and ensuring data solutions align with business objectives.

What are some common challenges faced by data platform engineering managers when scaling data infrastructure, and how can they be addressed?

Data Platform Engineering Managers often encounter challenges such as ensuring data reliability, maintaining performance as data volume grows, and managing cross-functional stakeholder expectations. Addressing these challenges involves implementing robust monitoring and alerting, adopting scalable architectures like distributed data systems, and fostering clear communication between engineering, analytics, and business teams. Staying informed about industry best practices and encouraging continuous learning within the team can also help overcome scaling obstacles while supporting innovation.

What is the difference between Data Platform Engineering Manager vs Data Engineer?

AspectData Platform Engineering ManagerData Engineer
ResponsibilitiesOversees data platform architecture, manages teams, ensures platform scalability and reliabilityBuilds, tests, and maintains data pipelines and infrastructure
Required SkillsLeadership, data architecture, cloud platforms, team managementSQL, ETL, programming, data modeling
CertificationsCloud certifications, data management certificationsNone typically required, but data-related certifications are common
Work EnvironmentManagement, strategic planning, cross-team collaborationHands-on data pipeline development, coding, troubleshooting

The Data Platform Engineering Manager focuses on leading data platform teams and strategic architecture, while Data Engineers are primarily responsible for building and maintaining data pipelines. Both roles require technical skills, but the manager role emphasizes leadership and oversight.

What cities are hiring for Data Platform Engineering Manager jobs?

Cities with the most Data Platform Engineering Manager job openings:

What states have the most Data Platform Engineering Manager jobs?

States with the most job openings for Data Platform Engineering Manager jobs include:

What are popular job titles related to Data Platform Engineering Manager jobs?

For Data Platform Engineering Manager jobs, the most frequently searched job titles are:

Infographic showing various Data Platform Engineering Manager job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Data Platform Engineering Manager

New York, NY • Remote

Octagon Talent
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Octagon Talentexternal

Full-time

Re-posted 26 days ago

Job description

Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure placements that last.


Job Overview:


One of our explosively growing clients is building the future of identity verification and fraud detection, powering real-time decisions for many of the largest financial institutions in the U.S. Octagon Talent Solutions is in search of a Data Platform Engineering Manager to lead a team responsible for the data infrastructure that underpins their products and decisioning systems, spanning ingestion, transformation, storage, and low-latency serving. This is a fully remote (US-based) role with high ownership, meaningful technical depth, and a direct impact on how we detect and prevent identity fraud at scale.


RESPONSIBILITIES:


  • Lead, mentor, and grow a high-performing Data Platform team (currently ~7 engineers, expanding).
  • Set technical direction and drive architecture for real-time and batch data systems—ingestion, processing, storage, and serving.
  • Partner closely with Data Science, Product, and Engineering to ensure data is reliable, accessible, and actionable across the business.
  • Establish and reinforce best practices for data quality, observability, governance, and schema management.
  • Improve platform performance, scalability, and cost efficiency in collaboration with Infrastructure/Platform teams.
  • Build an execution culture of ownership and accountability (monitoring, alerting, incident response, and continuous improvement).
  • Contribute hands-on when needed through design reviews, technical deep-dives, and problem-solving in complex systems.
  • Maintain a high hiring bar and help scale the team with thoughtful recruiting and onboarding.


REQUIREMENTS:


  • 2–5+ years of engineering management experience leading data/platform/backend teams (with strong people leadership).
  • Prior experience as a senior/staff-level data engineer or backend engineer with a strong data focus; still able to go deep “in the weeds” when required.
  • Proven track record building real-time, low-latency production systems where data is accurate, controllable, and served quickly to downstream systems.
  • Strong fundamentals in system design, distributed systems, and operational reliability.
  • Experience with modern cloud data platforms and architectures (AWS preferred).
  • Proficiency in Python, Golang, or similar languages; comfortable reviewing and guiding production-quality code.
  • Strong SQL and data modeling knowledge; experience with relational databases and warehouses.
  • Startup or growth-stage experience; comfortable operating in a fast-paced, high-ownership environment.


Nice to have: Spark/EMR, Kafka/Flink, Redshift, OpenSearch, Docker/containerized deployments, and experience supporting ML or fraud/risk systems.