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Data Platform Engineering Director Jobs (NOW HIRING)

Owner

Director of Data Platform Engineering

Why we're looking for you We are hiring a Director of Data Platform Engineering to own the platform that turns that data into something the company and our products can rely on. This is a hands-on ...

Dataroots BVBA

WI · On-site

$150 - $200/hr

As a Data platform Engineering Tech Lead, you'll join a collaborative team dedicated to design and ... Join a team where your work will have a direct impact on both our clients and our journey. What We ...

Socket.dev

Manager, Data Platform Engineering

Boston, MA · On-site

$200 - $250/hr

This team builds and operates the shared platform that data engineers, analytics engineers, data ... Direct experience with Databricks and/or Snowflake, and the judgment to evaluate platforms against ...

Hasbro

Manager, Data Platform Engineering

Boston, MA · On-site

This team builds and operates the shared platform that data engineers, analytics engineers, data ... Direct experience with Databricks and/or Snowflake, and the judgment to evaluate platforms against ...

Targa

Data Platform & Engineering Senior Manager

Houston, TX · On-site

$64.25 - $86/hr

Establish and lead Targa's Data Platform & Engineering capability, including organization design, engineering standards, delivery practices, DataOps, platform operations, and talent development.

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Data Platform Engineering Director information

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$73K

$194.7K

$254K

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

As of Sep 9, 2026, the average yearly pay for data platform engineering director in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

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

AspectData Platform Engineering DirectorData Engineering Manager
ResponsibilitiesOversees the design, development, and strategy of data platforms, ensuring scalability and performanceManages data engineering teams, oversees project execution, and ensures data pipelines meet business needs
Required SkillsStrong leadership, architecture expertise, cloud platforms, and data systems knowledgeTechnical data engineering skills, team management, project coordination
Work EnvironmentStrategic, cross-departmental, often executive-level collaborationOperational, team-focused, project-driven
Common UsageUsed in large organizations for high-level data infrastructure strategyUsed in organizations of all sizes for managing data engineering teams

The Data Platform Engineering Director focuses on strategic oversight and architecture of data platforms, while the Data Engineering Manager handles day-to-day team management and project execution. Both roles require technical expertise, but differ in scope and level of responsibility.

What cities are hiring for Data Platform Engineering Director jobs?

Cities with the most Data Platform Engineering Director job openings:

What states have the most Data Platform Engineering Director jobs?

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

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

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

Infographic showing various Data Platform Engineering Director job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.

Data Platform Engineering Manager

Manhattan, NY • On-site

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

Other

Re-posted 26 days ago

Job description

Job Description
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.


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