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Director Data Engineering Jobs (NOW HIRING)

Meta

Director, Data Engineering

Menlo Park, CA

$253K/yr

Director, Data Engineering Responsibilities: * Firefighter Mode * Leadership asks "what's the ROI of [new AI tool]?" on Wednesday. You have an answer by Friday * A team claims their AI initiative ...

AssetMark

Director, Data Engineering

Charlotte, NC

... Engineering, Data Architecture, Software Architecture, or Technology Leadership, with at least 3+ years in people management or dedicated technical leadership. * Direct experience leading modern ...

Aramark

Director, Data Engineering & AI

Philadelphia, PA · On-site

$150K - $160K/yr

The Director, Data Engineering & AI Enablement is the senior-most technical leader and active builder for the data engineering and artificial intelligence capability supporting the Facilities ...

HarbourVest

Director, Data Engineering

Boston, MA · Hybrid

$220K - $230K/yr

Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and deliver our private equity data platform. This hands-on leadership role requires a proven history of ...

Aramark

Director, Data Engineering & AI

Philadelphia, PA · On-site

$150K - $160K/yr

The Director, Data Engineering & AI Enablement is the senior-most technical leader and active builder for the data engineering and artificial intelligence capability supporting the Facilities ...

BlackRock

Director - Data Engineering

Atlanta, GA · On-site

About this role The RoleWe are seeking a Data Architect & Engineering Lead to drive the strategy and execution of our next-generation data platform. This leader will be responsible for designing ...

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$194.7K

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How much do director data engineering jobs pay per year?

As of Jul 5, 2026, the average yearly pay for director data engineering 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 are some common challenges faced by a Director of Data Engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What does a Director of Data Engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive in the Director Data Engineering position, and why are they important?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

More about Director Data Engineering jobs
What cities are hiring for Director Data Engineering jobs? Cities with the most Director Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Director Data Engineering jobs? States with the most job openings for Director Data Engineering jobs include:
What job categories do people searching Director Data Engineering jobs look for? The top searched job categories for Director Data Engineering jobs are:
Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.
Director, Data Engineering

Director, Data Engineering

Meta

Menlo Park, CA

$253K/yr

Full-time

Posted 20 hours ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 rated software companies

Job description

You'll be one of the analytics leaders for how Meta transforms its Enterprise through AI. This is a 0→1 role with enterprise-wide scope, high ambiguity, and direct visibility to leadership. If you want to shape how 70,000+ people work—and measure whether it's actually working—this is the job.We are open to hiring Data Science or Data Engineering profiles. In our world, both are Analytics. The work will span the full spectrum—from building the data infrastructure that powers enterprise measurements to shaping the strategic frameworks that define what "good" looks like. Your title matters less than your demonstrated experience to operate across that range.THE TEAM2026 is a step-function year for AI at Meta. We're not just building AI products for the world—we're fundamentally rewiring how we work internally. This is driven by AI4W (AI for Work), a company-wide effort to integrate AI into every tool, team, and process at Meta.This role reports to Enterprise Analytics leaders and will be one of the experienced ICs on a new “Ecosystem" analytics team. You'll sit at the intersection of the teams actually building Meta's internal AI future (Metamate, Devmate, Analytics Agent, vibe coding platforms) and Enterprise Engineering (EE), which manages 680+ products and 6 of Meta's top 10 internal tools, powering everything from recruiting and financial planning to supply chain operations and employee support. Across EE, we're watching the real-time pivot from "passive AI assistance" to autonomous agents that don't just advise but execute: sourcing candidates, calculating tax provisions, resolving IT tickets, and accelerating analytics workflows through cookbooks, semantic models, and self-serve recipe systems.There is no playbook and the measurement frameworks are nascent.
Director, Data Engineering Responsibilities:
  • Firefighter Mode
  • Leadership asks "what's the ROI of [new AI tool]?" on Wednesday. You have an answer by Friday
  • A team claims their AI initiative saved 10,000 hours. You validate (or invalidate) it
  • You rapidly instrument, measure, and communicate whether it's working
  • You jump into whatever is urgent and ambiguous—and you close it
  • Systems Thinker Mode
  • Build measurement frameworks that work across wildly different AI tools and use cases (coding, analytics, recruiting, HR support, supply chain, finance and more)
  • Create the dashboards, workspaces, semantic models and self-serve layers that let stakeholders across the company understand progress without pinging you
  • Design and scale the data pipelines and instrumentation that capture agent telemetry, usage signals, and outcome metrics across a fragmented and fast-moving tool landscape
  • Shape the strategy for how we think about productivity, time savings, and quality improvements in an AI-augmented workforce
  • Influence how Analytics (and business functions) evolve their operating models, job profiles, and organization structures for the AI era

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • AI power user. You're already a power AI user in your day-to-day work—Metamate, Claude, Cursor, or whatever tools make you faster. You'll set an example for what "AI-native" looks like and help others get there
  • 0→1 builder experience You've built measurement systems from scratch in ambiguous spaces. You don't wait for requirements—you define them
  • Speed + rigor. You can move fast without being sloppy. You know when to be 60% right now vs. 95% right later
  • Executive communication. You'll regularly present to leadership. Your insights need to be crisp, actionable, and defensible
  • Cross-functional influence. You'll work across dozens of teams (EE, Security, CPP, DevInfra, and more). You need to drive alignment without authority
  • Honesty. Some AI initiatives won't work. Some claimed impact will be inflated. You'll need to call it like you perceive it

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with productivity/efficiency measurement, internal tools, or enterprise products
  • Familiarity with LLMs, agentic systems, or AI tooling
  • Prior experience in a founding/early team member role

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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