Lead Data Engineer

Adobe

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: San Jose, CA
Employment: Full-time
Posted: 39 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $164k

$118k $211k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$202,200.

Based on 240 similar postings.

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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 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer

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The Lead Data Engineer joins the Marketing Operations and Engineering team within Growth Marketing and Insights to build and own the data foundation for the marketing measurement platform. This role involves collaborating with business analysts and data scientists to define requirements, build data pipelines, improve ETL processes, and maintain data quality. You will provide technical direction for system architecture, restructure databases, and automate recurring engineering tasks like pipeline monitoring and failure triage. The position requires proficiency in SQL, Python, Spark, and orchestration tools like Airflow or dbt, alongside experience with AWS, Azure, GCP, and Databricks. You will also utilize AI coding tools like Claude Code or GitHub Copilot. The work focuses on B2B marketing and sales data, including attribution, segmentation, and lifetime value.

Skills

SQL Python Spark Airflow dbt AWS Azure GCP Databricks ETL Claude Code Cursor GitHub Copilot CRM Agile

What you'll do

Build and maintain data pipelines and ETL processes to support marketing measurement tools.
Design and oversee the data architecture for B2B and B2C marketing models.
Restructure databases to improve data accessibility for data scientists and business analysts.
Scope requirements and connect data sources for new products and routes to market.
Conduct root cause analysis and collaborate with stakeholders to ensure data accuracy.
Automate recurring engineering tasks like pipeline monitoring and failure triage using scripts or AI agents.
Deliver high-quality production code and lead validation across all types of testing.
Incorporate AI coding tools into the development process to scaffold pipelines and generate tests.

What we're looking for

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 like Airflow or dbt.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-based analytics environments such as Databricks.
Practical, hands-on experience applying AI coding assistants like Claude Code, Cursor, or GitHub Copilot in real engineering tasks.
Ability to build and evaluate lightweight automated or intelligent agents to handle repetitive engineering tasks.
Experience working alongside data scientists and BI engineers to provide actionable insights.
Excellent written and verbal communication skills to explain technical concepts to non-technical collaborators.
Background supporting agile marketing or growth teams (preferred).
Experience working with B2B marketing or sales data, such as CRM or marketing automation platforms (highly valuable).