ZipRecruiter

Log In

1

Director Data Engineering Jobs in Kent, WA (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Seattle, WA · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Liberty Mutual

Asst Dir, Data Products (STP)

Seattle, WA · On-site

$59 - $79.75/hr

... loss data preferred. * Minimum of 3 to 5 years direct experience with agile teams as well as 7 ... Engineering, Economics, or other quantitative discipline strongly preferred * 5-7+ years of ...

Liberty Mutual

Asst Dir, Data Products (STP)

Seattle, WA · On-site

$59 - $79.75/hr

... loss data preferred. * Minimum of 3 to 5 years direct experience with agile teams as well as 7 ... Engineering, Economics, or other quantitative discipline strongly preferred * 5-7+ years of ...

Liberty Mutual

Asst Dir, Data Products (STP)

Seattle, WA · On-site

$106K - $197K/yr

... loss data preferred. * Minimum of 3 to 5 years direct experience with agile teams as well as 7 ... Engineering, Economics, or other quantitative discipline strongly preferred * 5-7+ years of ...

Amazon

Data Engineer, PXT Central Science

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with economics, data science, and software engineering teams to translate analytical ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...

OpenAI

Data Engineer, Core Experimentation

Seattle, WA · On-site

$293K - $325K/yr

We partner closely with product, engineering, and infrastructure teams to ensure experiments are ... have a direct, adverse and negative relationship with the following job duties, potentially ...

Software Technology Inc

Data Scientist

Seattle, WA · On-site

Work with Microsoft Fabric for data engineering, analytics, and AI-driven insights. * Develop ... Kishore Kumbam Sr. US IT Recruiter Direct: Ext: 131 Email: kishore.kumar | Web: Linkedin: 100 ...

Amazon

Data engineer, Decision Intelligence Technology

Bellevue, WA · On-site

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the ... You should possess both a data engineering background and a business acumen that enables you to ...

Amazon

Data Engineer, Decision Intelligence Technology

Bellevue, WA · On-site

$129K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the ... You should possess both a data engineering background and a business acumen that enables you to ...

previous page

Showing results 41-60

All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Kent, WA

Director Data Engineering information

See Kent, WA salary details

$82.4K

$219.8K

$286.7K

How much do director data engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for director data engineering in Kent, WA is $219,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $159,700.00 and $285,600.00 per year, depending on experience, location, and employer.

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 as a director of data engineering?

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.

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 are popular job titles related to Director Data Engineering jobs in Kent, WA?

For Director Data Engineering jobs in Kent, WA, the most frequently searched job titles are:

What job categories do people searching Director Data Engineering jobs in Kent, WA look for?

The top searched job categories for Director Data Engineering jobs in Kent, WA are:

What cities near Kent, WA are hiring for Director Data Engineering jobs?

Cities near Kent, WA with the most Director Data Engineering job openings:

Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Kent, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $219,805 per year, or $105.7 per hour.

Director, Product Management - Data Intelligence Foundation

Relativity

Seattle, WA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Posting Type

Remote/Hybrid

Job Overview

Relativity is a leading legal data intelligence company building AI technology that helps organizations organize data, discover the truth, and act on it with confidence. Over two decades, the company has built the most trusted platform in legal data, earning deep relationships with the world's leading law firms, corporations, and government agencies, and managing petabytes of the most sensitive data in existence. That foundation is now being turned into something larger: The AI platform for legal data intelligence.
The Relativity Intelligence Model is the architecture for that transformation. At its base is the Foundational Layer (Relativity's shared data platform serving all AI applications). Five primitives give AI agents the structure, meaning, and retrieval capability they need to reason over legal data at scale: Files, Ontology, Data Capabilities, Knowledge/Metadata, and Query Plane. Relativity's Data Intelligence Foundation engineering org is building this layer. The product leadership that shapes it, drives adoption across Relativity's product teams, and builds the PM discipline to own it long-term. That's this role.
The Director of Product Management, Data Intelligence Foundation is one of the highest-leverage product roles at Relativity. The Foundational Layer is what makes every Relativity aiR application smarter, every agent more reliable, and every Relativity product team faster. Getting it right matters enormously.

Job Description and Requirements

Whatyou'llown

The full PM layer across multiple engineering orgs:

  • Files / Natives: The storage primitive for legal documents, images, and native files. You define the substrate that makes immutable legal data consistently accessible across every product, partner integration, and AI workflow, with the SLAs, access contracts, and API surface that teams canbuild onwith confidence. The underlying data primitives are the foundation; the degree to which the retrieval layer (Query Plane) matches this structuredetermineshow easily the organization can navigate between "slow data" and "fast data" use cases.

  • Ontology / Relationship: The semantic layer of the Relativity Intelligence Model. Ontology encodesmeaning:what kinds of things exist in legal data and how they relate, so that AI agents can reason, not just query. You define what Relativity's Ontology becomes: the entities, relationships, and contracts that give every Skill and Agent a shared vocabulary for legal data.

  • Data Capabilities: Reporting, Audit, and internal data infrastructure. The operational backbone that makes the platform observable, auditable, and explainable. These are non-negotiable properties in legal data intelligence use cases.

  • Knowledge / Metadata: The core data model that every product team, customer, and integration partner works with. A unified materialized document layer, consistent across all workspaces, is the mandate. Your roadmap evolves this surface to serve AI application teams as first-class consumers alongside the users who have relied on it for years.

  • Query Plane: One of the most performance-sensitive and strategically important services in the product. The mandate is a unified retrieval pillar with a rich materialized document layer: standardized ingestion APIs independent of data source, hybrid retrieval (lexical + vector) with reranking, chunking as a managed capability, and tiered storage (cold/warm/hot).

Minimum qualifications

  • 12+ years in product management; 5+ yearsleading platform or infrastructure PM organizations

  • Deep fluency with data platform primitives, including storage systems, metadata layers, knowledge graphs, query engines, or equivalent. You can design an API contract, contribute to engineering scope decisions, and articulate the trade-offs in a data consistency model.

  • Demonstrated ability to manage and build a PM team through hiring, leveling, and establishing product practice for a new domain

  • Bachelor's degree in Business, Computer Science, Engineering, or Design, or comparable work experience

Preferred qualifications

  • Experience building at companies where the data platform is the product, not a supporting system.Snowflake, Databricks, Elastic, MongoDB, Palantir, and similar are strong indicators of the right background.

  • Experience building for AI systems, agents, or ML pipelines as primary consumers. You understand what a model needs from data that a humandoesn't, and you design for both.

Ways of working

  • Engineering credibility is paramount.You will be in technical discussions with skilled and knowledgeable engineering leaders regularly.You need to be a peer in those conversations, not a relay.

  • Organizational cadence.Youestablishthe operating rhythm for a multi-pillar PM org: the forum structure, planning cadence, and decision frameworks that let the team move with velocity and alignment. When priorities conflict across pillars, you hold the trade-off clearly and resolve it cleanly.

  • Internal GTM ownership.Adoption of the Foundational Layer means every product team at Relativity builds with it. You define how internal teams discover, integrate, and get value from platform services, and you measure it. This is a product strategy job and a change management job simultaneously.

  • Coaching a scaling PM org.You build PM capability, not just PM headcount, leveling people up while running at speed.

  • Cross-functional influence without authority.Youdon'tcontrol the teams that need to adopt what you build. You make the new path clearly better and bring teams along through clarity, evidence, and trust.

  • Directional clarity under ambiguity.Several of these primitives are being defined as the engineering teams build. You make good decisions with incomplete information and update them whenrequired.

  • Legal domain expertise is notrequired.However, internalizing why defensibility, chain of custody, and auditability are first-class design requirements.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$188,000 and $282,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Apply