You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Be the first to open itNo views yet
Adobe

Senior Data Engineer

  • Office
  • 6+ years

Salary

$133,100 - 236,400/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

The Opportunity

The world of design is changing rapidly and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator, InDesign, and emerging experiences that connect creativity, collaboration, and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent, connected tools that empower creators and teams to move faster without sacrificing craft.

We are looking for a Senior Data Engineer who will build a strong and scalable foundation to support it. Join us and build Adobe’s future products!

Responsibilities

  • Build, scale and optimize the data architecture and ETL/pipeline on Databricks across Pro Design products, spanning shared platform data and in-app usage telemetry.
  • Partner with Product, Engineering, and Data Science to define and implement data logging and instrumentation that enables product experimentation, AI/ML features, and analytics.
  • Set and evolve governance standards regarding data quality, privacy, security, lineage, and SLAs in Unity Catalog.
  • Build automated reporting and the data foundations that power conversational, AI-driven insights across our reporting stack.
  • Keep production pipelines and queries healthy and performant at scale and drive optimization for cost and latency.
  • What you need to succeed
  • Minimum Requirements:
  • Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Proficiency in SQL and Python, PySpark, Airflow, Databricks workflows.
  • 5+ years in data engineering, including production pipelines at scale.
  • Experience with high-volume event/telemetry data from a client application, not just server-side data.
  • Experience integrating AI tools to optimize/redesign workflows towards higher efficiency, quality, or latency.
  • Experience building multi-agent AI systems or agentic workflows.
  • Working knowledge of AI/ML data pipelines (feature stores, embeddings, or retrieval) and modern BI/reporting tools.
  • A track record of partnering with Product, Engineering, and Data Science to turn ambiguous questions into reliable data models.
  • Preferred Requirements:
  • MS or Ph.D. in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Hands-on experience with Databricks and Unity Catalog (or comparable Lakehouse and governance tooling).
  • Experience deploying and managing services and applications on Azure and Azure Cloud platforms.
  • Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs.
  • Familiarity with data privacy and compliance for user-behavior data (e.g., GDPR, CCPA).
  • About Adobe
  • Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
  • Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
  • Let’s Adobe together
  • At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
  • Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
  • Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .
  • AI Use Guidelines for Interviews:
  • At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
  • Expected Pay Range:
  • Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,100 - $236,400 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.&xa;&xa;In California, the pay range for this position is $163,200 - $236,400&xa;
  • At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
  • In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
  • State-Specific Notices:
  • California :
  • Fair Chance Ordinances
  • Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
  • Colorado:
  • Application Window Notice
  • If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
  • Massachusetts:
  • Massachusetts Legal Notice
  • It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Where you’d work

From the office

About the company

Adobe

  • Industry: SaaS

Offices in San Francisco, United States, United States

Also hiring in San Jose, United States, Seattle, United States, New York, United States and 23 more places

15 of their 304 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 1 red flag

Still hiring?

14 checks

No red flags

How crowded?

7 checks

1 red flag

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Azure
  • Spark
  • Databricks
  • Airflow
  • LLMs
  • RAG
Seniority
Senior
Type
Full-time
Equity
Equity offered
Industry
SaaS
Specialty
Data Engineering
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • SQL
  • Azure
  • Spark
  • Databricks
  • Airflow
  • LLMs
  • RAG

Location

Work model
Office
Region
United States
Offices
  • San Francisco, United States
  • United States

Compensation

Salary
$133,100 - 236,400 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
SaaS

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Data Engineer

    $345,000 - 385,000 / year

    • Hybrid · Seattle
    • Mid-Level
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Lead Data Engineer

    $110,000 - 180,000 / year

    • Office · US
    • Lead & Manager
    Direct apply
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Senior Data Engineer

    $200,000 - 250,000 / year

    • Office · San Francisco
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Technical Lead, Data Platform Engineer

    Salary by agreement

    • Hybrid · London
    • Lead & Manager

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason