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Adobe is seeking a Lead Data Engineer for its Marketing Operations and Engineering team, focused on data architecture and engineering to support analytics and AI initiatives. The role requires extensive experience in data engineering, collaboration with cross-functional teams, and a passion for artificial intelligence.
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Job Summary
The role involves leading the design of scalable data pipelines and platforms to support analytics, marketing measurement, and AI/ML use cases.
Candidates must possess strong expertise in SQL, Python, Spark, and orchestration tools like Airflow and dbt to drive data quality and governance.
Adobe offers a competitive compensation range of $139,000 to $257,550 annually depending on location and experience.
Matching Summary
Match Score: 75
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Adobe is seeking a Lead Data Engineer for its Marketing Operations and Engineering team, focused on data architecture and engineering to support analytics and AI initiatives. The role requires extensive experience in data engineering, collaboration with cross-functional teams, and a passion for artificial intelligence.
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Salary
Base: $139,000 - $257,550 annually; Bonus/Equity: Annual Incentive Plan (AIP) and potential new hire equity award; Benefits: Comprehensive benefits programs not specified
Skills & Requirements
Must-have
8+ years of data engineering experience
Expertise in SQL, Python, Spark, Airflow, dbt
Hands-on cloud platform experience AWS Azure GCP
Experience with Databricks and modern data platforms
Strong background in data modeling and governance
Nice-to-have
Exposure to Generative AI concepts and RAG
Experience using AI-assisted development tools
Ability to translate business needs into tech solutions
Collaboration with data scientists and BI teams
Key Requirements
BS/MS in Computer Science or equivalent experience
8+ years of professional data engineering experience
Proven track record in building production-grade data solutions