Senior Data Engineer

Adobe Systems
San Francisco
Workplace: OnsiteFull timeUSD 133,100 - 236,400 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Partnering","Turning ambiguous questions into reliable models"]

Build and optimize scalable data architectures and ETL/pipelines on Databricks for Pro Design products, including shared platform data and in-app telemetry. Partner with Product, Engineering, and Data Science to design data logging and instrumentation for experimentation and AI/ML features. Establish governance standards in Unity Catalog, deliver automated reporting and AI-driven insights, and keep production pipelines performant while reducing cost and latency.

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FursaFursa
Adobe Systems
Adobe Systems
1 month ago

Senior Data Engineer

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Build and optimize scalable data architectures and ETL/pipelines on Databricks for Pro Design products, including shared platform data and in-app telemetry. Partner with Product, Engineering, and Data Science to design data logging and instrumentation for experimentation and AI/ML features. Establish governance standards in Unity Catalog, deliver automated reporting and AI-driven insights, and keep production pipelines performant while reducing cost and latency.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build, scale, and optimize data architecture and ETL/pipelines on Databricks across Pro Design products.
  • •Partner with Product, Engineering, and Data Science to define and implement data logging and instrumentation for experimentation, AI/ML features, and analytics.
  • •Set and evolve governance standards for data quality, privacy, security, lineage, and SLAs in Unity Catalog.
  • •Build automated reporting and data foundations for conversational, AI-driven insights across the reporting stack.
  • •Maintain production pipelines and queries for performance at scale and optimize for cost and latency.

Pay and Benefits

Salary: USD 133,100 - 236,400 annually

Key Requirements

  • •Bachelor’s degree in Computer Science/Engineering or equivalent practical experience.
  • •Proficiency in SQL and Python, PySpark, Airflow, and Databricks workflows.
  • •5+ years of data engineering experience, including production pipelines at scale.
  • •Experience with high-volume event/telemetry data from client applications.
  • •Experience integrating AI tools and building multi-agent or agentic AI systems; working knowledge of AI/ML data pipelines and modern BI/reporting tools.
Experience:5+ years
Education:Bachelor's in Computer Science, Computer Engineering, relevant technical field
Skills:PartneringTurning ambiguous questions into reliable models
Tech Stack:DatabricksETLPipelinesSQLPythonPySparkAirflowUnity CatalogAI/MLFeature storesEmbeddingsRetrievalBIReportingAzureAzure CloudLLMsRAGMulti-agentAgentic workflows

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
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