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Data Platform Engineering Director Jobs (NOW HIRING)

CarGurus

Manager, Data Platform Engineering

Boston, MA · On-site

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 ...

CVS Health Corporation

NY · On-site

The Senior Manager, Observability Data Platform Engineering is responsible for leading the strategy, engineering, operations, and continuous evolution of the enterprise Observability Data Platform ...

CVS Health Corporation

The Senior Manager, Observability Data Platform Engineering is responsible for leading the strategy, engineering, operations, and continuous evolution of the enterprise Observability Data 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 ...

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 ...

Dynata

Director, Platform Engineering

$150K - $200K/yr

The Director, Platform Engineering, is the senior engineering leader responsiblefor the ... Working closely with Product, Data Analytics, Security, and Infrastructure leaders, this individual ...

Dynata

Director, Platform Engineering

$150K - $200K/yr

The Director, Platform Engineering, is the senior engineering leader responsible for the ... Working closely with Product, Data Analytics, Security, and Infrastructure leaders, this individual ...

Boulevard

Director of Engineering, Data

We're hiring a Director of Engineering - Data to build and lead the technical foundation that ... Data Infrastructure & Platform Engineering - Build and maintain scalable, reliable data pipelines ...

HARMAN International

Data Platform Lead

Novi, MI · On-site

Engineer audio systems and integrated technology platforms that augment the driving experience ... The Data Platform Lead works closely with the Data Platform Portfolio Manager, Enterprise ...

WISEcode

VP, Data Platform & Engineering

$184K - $237K/yr

We are hiring a VP of Data Platform & Engineering to make WISEcode data the easiest and most trustworthy data to consume, inside and out, and to own the machine that ships it safely. This is not ...

Hasbro

Data Platform Engineer

Boston, MA

Platform Engineering & Support * Build and maintain shared platform infrastructure, including data pipeline frameworks, reusable templates, and developer tooling. * Support the administration and day ...

Renaissance Holding

$95K - $105K/yr

The position partners closely with the Data Platform Lead, AI Manager, and engineering teams to translate strategic direction into durable, scalable architecture and enable teams to consume platform ...

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All JobsTechnology JobsSoftware JobsDirector Of Software Development JobsData Platform Engineering Director Jobs

Data Platform Engineering Director information

See salary details

$73K

$194.7K

$254K

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

As of Sep 11, 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, 84% Full Time, 11% 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.

Senior Director, Data Platform Engineering

San Francisco, CA • On-site

Lila Sciences
See more jobs at Lila Sciencesexternal

$79.25 - $106/hr

Full-time

Medical, Dental, Vision, Life

Re-posted 10 days ago

Key responsibilities

  • Lead and manage a team of 30-40 data engineering experts, providing technical guidance, mentorship, and ensuring timely delivery of solutions.

  • Define and execute the technical roadmap for the data platform, driving innovation, ensuring reliability, security, and scalability of data processing infrastructure.

  • Collaborate with data scientists, data engineers, lab scientists, and product teams to understand their data processing needs and deliver solutions accordingly.

Job description

Your Impact at LILA
Lila is seeking a highly motivated and experienced engineering leader to lead a team responsible for our Lila's product data platform. You will own the data platform and infrastructure end-to-end - architecture, delivery, reliability, and developer/data scientist experience.
Our mission is to deliver Scientific Super Intelligence through a reliable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction - enabling AI/ML, product teams, and scientists to build data-intensive applications with confidence and speed. Our platform supports analytical and machine learning workloads across Lila, serving autonomous DBTL cycles, instrument data pipelines, and AI inference workflows.
You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data management and data serving capabilities of our Data Platform. You will work closely with data scientists, data engineers, lab scientists, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies.
What You'll Be Building
  • Team Leadership: Build, mentor, and manage a high-performing team of 30-40 data engineering experts. Evaluate and adopt modern data infrastructure - including real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house, and cloud-native object storage architectures; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions.
  • Technical Strategy and Execution: Define and execute the technical roadmap for our data platform, aligning with Lila's overall data strategy; Drive innovation in data Lakehouse and data serving ecosystem exploring new technologies and approaches to improve usability, performance, scalability, and efficiency; Ensure the reliability, availability, and security of our data processing infrastructure.; Collaborate with other engineering teams to integrate our data processing technologies with other Lila systems and services.
  • Stakeholder Management: Partner with data scientists, data engineers, lab scientists, product managers, and other stakeholders to understand their data processing needs and requirements; Communicate technical concepts and solutions effectively to both technical and non-technical audiences; Advocate for best practices in data processing and engineering; Manage expectations and ensure alignment across different teams.
  • Engineering Thought Leadership: Represent Lila's data platform work at external conferences; Deliver presentations, and write blog posts highlighting Lila's leadership in big data processing.
  • Scientist and Engineering Productivity: Drive innovative, agentic, and low-code solutions to deliver data interfaces - exploration, query, analytics, and ML/inference solutions at scale.

What You'll Need to Succeed
  • 12+ years of software development experience, with a focus on data processing at scale. 5+ years of experience leading senior engineers.
  • Experience with building on AWS/GCP primitives like S3 + Athena/BigQuery, and query engines.
  • Operated data platforms at petabyte scale with sub-second query latency requirements.
  • Experience managing data infrastructure supporting 100+ concurrent ML training and inference workloads.
  • Familiarity with LLM/AI-native data patterns - vector stores, embedding pipelines, pre/mid/post training.
  • Track record of building data platforms in high-growth or early-stage environments where speed-to-value mattered as much as long-term architecture.
  • Hands-on coding in Python and modern backend frameworks. Experience with infrastructure-as-code and containerized deployments (Kubernetes).
  • BS, MS, or Ph.D. in Computer Science or a related field of study.

Bonus Points For
  • Thought leadership in the community via presentations in conferences or blog posts.
  • Experience building and growing teams focusing on open source technologies.
  • Scientific data management and quality experience
  • Built self-service data products/platforms where developer experience was a first-class product concern.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$300,000-$390,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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