Lead Data Engineer

Adobe Inc.
San Jose, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Applications Architecture Software Applications Microsoft Azure Cloud Computing Databases Information Engineering Extract Transform Load (ETL) Cursor Python (Programming Language)
+10 more
Software Engineering SQL Databases Systems Architecture Google Cloud Apache Spark Adobe Information Technology Data Analytics Data Pipelines Databricks

Job description

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.

  • You will 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.
  • You will play a meaningful role in building high-level composition artifacts.
  • You will also deliver high-quality code work for a module, lead validation for all types of testing, and support activities related to implementation and transition.
  • Take 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/models for Adobe’s B2C and B2B business units.
  • Partner with Marketing, Finance, and Sales teams to maintain data integrity and perform root cause analysis when discrepancies arise in the data.

Requirements

  • 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).
  • Experience with Cursor AI or similar platforms for intelligent data workflows and automation.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-based analytics environments such as Databricks.
  • Experience working alongside Data Scientists and BI Engineers to deliver actionable insights.
  • Excellent communication skills and ability to explain technical concepts to non-technical collaborators.
  • Experience and passion for data-driven development.
  • Excellent written and verbal communication skills.
  • Background in supporting agile marketing or growth teams is a plus.

Benefits & conditions

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.

About the company

Changing the world through digital experiences is what Adobe’s all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

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