Senior Data Science Engineer, GenAI Platforms & Data Infrastructure

Adobe

Quick summary

Work type
On-site
Location
LehiSan Francisco, CAAustin, TXSan Jose, CASeattle, WA
Salary
$163,200–$236,400 / yr
Posted
46 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $200k
$128k most similar roles pay here $248k

This role pays more than 65% of similar roles. Most pay $145,200–$217,725 — the shaded band above. At the midpoint, this role pays about $200k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 344 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 344 roles with salary data.

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At a glance

TL;DR · Senior Data Science Engineer, GenAI Platforms & Data Infrastructure

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Adobe Customer Solutions seeks a Senior Data Science Engineer to join their team and build robust AI and data systems for the Digital Experience business. This hands-on role involves creating data pipelines, feature workflows, and platform services using Python, SQL, Spark, Databricks, Delta Lake, and cloud tools, while also developing LLM-powered agents that summarize customer signals and generate insights. The engineer will own critical components such as data ingestion, orchestration, semantic layers, tool integrations, monitoring, and reliability, combining structured and unstructured data from various sources to enhance GenAI quality through evaluation and feedback loops. Ideal candidates have 8+ years of experience in data engineering or related fields, with a strong background in distributed data processing, workflow orchestration, and GenAI systems, as well as the ability to guide projects from discovery to production and communicate effectively across technical teams and business stakeholders.

Skills

Python SQL Spark Databricks Delta Lake Git CI/CD Databricks Repos AWS Azure GCP Airflow Dagster APIs microservices event-driven workflows vector databases embeddings semantic search knowledge graphs Elastic Stack Kafka Kinesis Adobe Experience Cloud Adobe Experience Platform Adobe Analytics Customer Journey Analytics

What you'll do

  • Build and operate data pipelines using Python, SQL, Spark, Databricks, and Delta Lake.
  • Create LLM-powered agents that summarize customer signals and generate actionable insights.
  • Own platform components for data ingestion, orchestration, monitoring, and reliability.
  • Combine structured and unstructured data from various systems to enhance customer intelligence.
  • Improve GenAI quality through evaluation, feedback loops, and production monitoring.

What we're looking for

  • 8+ years of experience in data engineering or related technical roles.
  • Proficiency in Python, SQL, Spark, Databricks, and Delta Lake for production work.
  • Hands-on experience with GenAI systems including agents and LLMs.
  • Strong knowledge of data modeling, quality, lineage, access control, and observability.
  • Ability to guide projects from discovery through deployment and monitoring phases.
  • Clear communication skills with technical teams, business stakeholders, and senior leaders.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or related field.

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