Lead Data Engineer

Adobe Systems
San Jose
Workplace: OnsiteFull timeUSD 177,900 - 257,550 annuallyFunction: Administration & Executive AssistanceExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Technical leadership","Root cause analysis","Data-driven development","Collaboration"]

Build and own the data foundation for Adobe’s marketing measurement platform within the Growth Marketing and Insights (GMI) team. Lead data engineering efforts across pipeline development, ETL improvements, data quality, and database restructuring to support data scientists and business analysts. Collaborate with analysts and stakeholders to scope requirements, connect data sources, deliver high-quality code with testing/validation, and automate recurring engineering work using AI-assisted tools while ensuring production reliability.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Adobe Systems
Adobe Systems
1 day ago

Lead Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Build and own the data foundation for Adobe’s marketing measurement platform within the Growth Marketing and Insights (GMI) team. Lead data engineering efforts across pipeline development, ETL improvements, data quality, and database restructuring to support data scientists and business analysts. Collaborate with analysts and stakeholders to scope requirements, connect data sources, deliver high-quality code with testing/validation, and automate recurring engineering work using AI-assisted tools while ensuring production reliability.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance

Key Responsibilities

  • •Build and own the data foundation behind Adobe’s marketing measurement platform, overseeing the data platform powering marketing models and reporting tools.
  • •Collaborate with business analysts and data scientists to define requirements and support system architecture and application design across the development lifecycle.
  • •Develop and maintain data pipelines and improve ETL processes, including data quality, database restructuring, and validation/testing for shipped modules.
  • •Integrate data sources and scope/build ETL processes to support new products and routes to market as campaign measurement models expand.
  • •Partner with Marketing, Finance, and Sales to ensure data accuracy and perform root cause analysis for inconsistencies, while automating recurring engineering work using scripts and AI agents.

Pay and Benefits

Salary: USD 177,900 - 257,550 annually

Key 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 such as Airflow and dbt.
  • •Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud analytics environments such as Databricks.
  • •Practical experience applying AI coding assistants (Claude Code, Cursor, GitHub Copilot, or similar) to real engineering tasks.
  • •Comfort building lightweight automated or intelligent agents for repetitive engineering work like monitoring, alerting, and root cause analysis.
Experience:8+ yearsData engineeringMarketing analyticsB2B marketing
Education:Bachelor's
Skills:CommunicationTechnical leadershipRoot cause analysisData-driven developmentCollaboration
Tech Stack:SQLPythonSparkAirflowDbtAWSAzureGCPDatabricksClaude CodeCursorGitHub CopilotAI coding assistantsETLData pipelinesPipeline monitoringAutomation

Company Brief

Adobe Systems
Provides creative, marketing, and document management software and cloud services, including Photoshop, Illustrator, Acrobat, and the Adobe Experience Cloud, serving creative professionals, enterprises, and governments worldwide.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1982
Glassdoor
Glassdoor: 4.0
WebsiteLinkedInGlassdoor