Director of Data Engineering

Career Guide

A Director of Data Engineering leads the teams and systems that move, store, and prepare data so it is reliable and ready for analytics, reporting, and machine learning. This role blends people leadership, technical direction, and strong partnership with product, security, and business leaders.

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Key Responsibilities

Set the technical direction for data platforms, including how data is collected, stored, and delivered
Lead and grow data engineering teams through hiring, coaching, and performance management
Define standards for data reliability, including monitoring, incident response, and service expectations
Partner with analytics, data science, and product leaders to prioritize data work that supports business goals
Own data architecture decisions, including scalability, cost, and long term maintainability
Establish governance practices for data quality, access controls, and responsible data use
Oversee delivery of major initiatives, including migrations, new data products, and platform upgrades
Manage budgets and vendor relationships for data tools and cloud services
Ensure documentation is maintained so teams can operate and onboard efficiently
Create clear processes for planning, reviews, and delivery across multiple teams

Top Skills for Success

People Leadership

Stakeholder Management

Strategic Planning

Program Management

Hiring and Team Building

Coaching and Mentoring

Written Communication

Data Architecture

Data Modeling

Cloud Platforms

Distributed Systems

Data Pipelines

Data Orchestration

Data Warehousing

Data Lakehouse Design

Streaming Data

Data Reliability Engineering

Observability

Data Quality Management

Security and Access Control

Cost Management

Career Progression

Can Lead To

Vice President of Data Engineering

Head of Data

Vice President of Data Platform

Chief Data Officer

Transition Opportunities

Director of Engineering

Director of Platform Engineering

Director of Analytics Engineering

Director of Data Product

Common Skill Gaps

Often Missing Skills

Executive CommunicationData GovernanceCost ForecastingSecurity Risk ManagementReliability MetricsChange ManagementVendor ManagementCross Functional Roadmapping

Development SuggestionsBuild a simple operating model with clear service expectations, ownership, and measurement. Practice communicating tradeoffs in time, cost, and risk. Strengthen governance and security partnership by defining access patterns and approval workflows. Use regular reviews to track reliability, cost, and delivery outcomes.

Market Intelligence Report

Director of Data Engineering is part of the Data & Platform Engineering category.Explore our market intelligence report to see how AI and hiring demand are shifting for these roles.

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Salary & Demand

Median Salary Range

Entry LevelUSD 170,000 to 220,000

Mid LevelUSD 220,000 to 280,000

Senior LevelUSD 280,000 to 360,000

Growth Trend

Demand is strong as companies invest in modern data platforms, improve data reliability, and expand analytics and machine learning. Hiring remains most active in technology, finance, healthcare, retail, and logistics, with emphasis on cloud cost control and data governance.

Companies Hiring

Major Employers

AmazonGoogleMicrosoftMetaNetflixUberAirbnbSalesforceOracleSnowflakeDatabricksStripeJPMorgan ChaseCapital OneWalmartTarget

Industry Sectors

TechnologyFinancial ServicesHealthcareRetailEcommerceMedia and StreamingTransportation and LogisticsManufacturingTelecommunicationsPublic Sector

Recommended Next Steps

Create a one page data platform strategy tied to business goals and measurable outcomes

Define reliability standards, including monitoring, on call expectations, and incident reviews

Audit platform costs and identify the top drivers with a plan to reduce waste

Establish data governance basics, including ownership, quality checks, and access controls

Improve hiring signals by building a structured interview plan and leveling rubric

Document core architectures and team responsibilities to reduce single points of failure

Align a quarterly roadmap with product, analytics, and security leaders

Build a leadership portfolio highlighting scale, reliability improvements, and cost savings