Lead Data Engineer

The Opportunity The Marketing Operations and Engineering team in Growth Marketing and Insights (GMI) handles data architecture, transformation, and engineering for GMI under the Marketing org. We manage backend data for marketing measurement tools and processes such as attribution, product and customer segmentation, and lifetime value. We're looking for a Lead Data Engineer to build and own the data foundation behind Adobe's marketing measurement platform. You will collaborate with business analysts and data scientists to define requirements for new and existing models. You will build data pipelines, improve ETL processes, maintain data quality, and seek ways to boost efficiency and automation in daily tasks. You will oversee the data platform behind Adobe’s marketing models and other marketing measurement and reporting tools used company-wide. The initial focus of this role is Adobe’s B2B marketing and sales data, though the scope is encouraged to grow beyond B2B as the team’s remit expands. What you'll Do We are seeking a proven contributor who will provide support in data engineering, building data assets, and software applications. This individual should be able to provide technical direction and system architecture advice for individual initiatives. Collaborate with key partners and apply your technical proficiency across different stages of the software development process, including requirements elicitation, application architecture definition, and build. Play a meaningful role in composing high-level design artifacts. Deliver high-quality code for a module, lead validation across all types of testing, and support activities related to implementation and transition. Assume responsibility for restructuring the database to better support data scientists and business analysts across the marketing organization. Scope requirements, connect data sources, and build ETL processes to support new products and routes to market as the team expands campaign measurement products and models for Adobe’s B2C and B2B business units. Collaborate with Marketing, Finance, and Sales groups to ensure data accuracy and conduct root cause analysis when inconsistencies occur in the data. Incorporate AI coding tools like Claude Code, Cursor, or GitHub Copilot into the development process. These tools help scaffold pipelines, generate tests, and speed up code reviews. You will still be responsible for the quality and accuracy of all production code. Find opportunities to automate recurring engineering work — pipeline monitoring, failure triage, documentation — using scripted workflows or AI agents where they genuinely save the team time. What you need to succeed BS/MS in Computer Science or equivalent experience, with 8+ years of data engineering experience. Proven expertise in SQL, Python, Spark, and data pipeline orchestration tools (e.g., Airflow, dbt). Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-based analytics environments such as Databricks. Practical, hands-on experience applying AI coding assistants (Claude Code, Cursor, GitHub Copilot, or similar) in real engineering tasks — not merely casual experimentation. Comfortable evaluating, and where useful building, lightweight automated or intelligent agents to handle repetitive engineering tasks such as monitoring, alerting, or root cause analysis. Experience working alongside data scientists and BI engineers to provide actionable insights. Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical collaborators. Genuine interest in data-driven development and a track record of shipping reliable data products. Background supporting agile marketing or growth teams is a plus. Experience working with B2B marketing or sales data, such as account-based marketing, campaign attribution, CRM, or marketing automation platforms, is highly valuable. This role initially focuses on B2B, and having that background is helpful. Over time, the position will expand beyond B2B. 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: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. 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 $139,000 - $257,550 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.

In California, the pay range for this position is $177,900 - $257,550
 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 t