About the Role
Adobe is seeking a highly skilled Senior Data Engineer to join our Doc Cloud Product & Business Analytics organization. This role focuses on building and operating large-scale analytical data pipelines and analytics-ready data tables that power product adoption, usage metrics, experimentation (A/B testing), and executive dashboards across a massive monthly active user base.
You will work primarily on Azure Databricks, playing a key role in setting up and evolving our
Databricks-based analytics data warehouse
, including curated tables, metric foundations, and scalable data models. This role is ideal for a hands-on data engineer with deep expertise in
SQL, Python, Spark, and Delta Lake
, and a strong understanding of analytics-driven data warehousing and product analytics.
Key Responsibilities
Design, build, and maintain
large-scale, production-grade data pipelines
on
Azure Databricks
using
Apache Spark and Python
Write and optimize
complex, high-performance SQL
for data transformation, aggregation, and analytics workloads at scale
Develop and maintain
analytics-ready data models
(fact tables, dimensions, rollups, metric layers, and gold layer tables) used for dashboards and reporting
Optimize Databricks workloads for
performance, reliability, and cost efficiency
, including tuning Spark jobs and Delta Lake tables
Establish and apply
Delta Lake best practices
, including incremental and idempotent processing, MERGE patterns, partitioning, and table optimization.
Partner closely with
product analysts, business analysts, data scientists, and product managers
to enable reliable, self-serve analytics, supporting product-led growth use cases.
Implement
data quality checks, validation frameworks, and monitoring
to ensure
accurate and trusted analytics metrics
Apply strong
Data engineering best practices
, including version control and documentation
Contribute to solutions that integrate
structured and unstructured data
, including selective use of
GenAI / LLM-based capabilities
where relevant
Required Qualifications
Education
Bachelor’s degree or higher in Computer Science, Engineering, or a related field
Experience
6–12 years of professional experience in
Data Engineering
Proven experience building and supporting
production-grade analytical data pipelines
at scale
Technical Expertise (Must-Have)
Expert-level SQL
skills, including complex joins, window functions, performance tuning, and large-scale aggregations
Advanced Python
proficiency for data processing, pipeline development, and automation
Deep hands-on experience with
Azure Databricks and Apache Spark
Strong understanding of
Delta Lake
and optimization techniques (partitioning, Z-ordering, compaction)
Experience designing
data models optimized for analytics and BI consumption
Cloud & Platform
Strong experience with
Microsoft Azure
, including data lake storage and access controls
Familiarity with
lakehouse architectures
and enterprise data governance concepts
Preferred Qualifications
Experience with
streaming or near–real-time data pipelines
on Databricks
Prior experience supporting
product analytics, feature adoption, or MAU-based metrics
Exposure to
MLOps, LLM deployment, or GenAI-enabled data applications
Familiarity with
BI tools
such as Tableau or Power BI and their performance considerations
Experience mentoring analysts or junior data engineers
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our
values and culture
,
focus on people, purpose and community
,
Adobe for All
, comprehensive
benefits programs
, the
stories we tell
, the
customers
we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an
Equal Employment Opportunity
employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.
Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email
accommodations@adobe.com
or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about
AI in the hiring experience
.
