Senior Data Engineer

Job Description:
The Senior Data Engineer will be responsible for designing and building infrastructure to
support various Finance, Accounting, and Business Model Strategy organizations. This
includes architecting data models, integrating disparate data sources, and managing a
data warehouse to enable users to uncover insights. The role will also be involved in the
development of internal applications and processes to standardize the collection and
representation of contractual data across Adobe. Additionally, the engineer will use AI
and large language models (LLMs) to solve problems and increase
efficiency/productivity in new ways.

What You'll Do

o Build, develop, test and deploy services and tools for Finance and Business
Model Strategy organizations

o Design and maintain data warehouses and architect data models to support
financial reporting and product consumption

o Develop and manage data pipelines for collecting, processing, and integrating
data from multiple sources

o Participate in all aspects of software development activities, including design,
coding, code review, unit integration/testing, bug fixing and documentation

o Build systems and processes to normalize contractual and product usage data
and surface insights to internal and external customers

o Rapidly prototype ideas and concepts, researching latest industry trends in areas
like data analytics, LLMs, and AI

o Collaborate and strategize with internal partners; solicit feedback to build data
products that meet program objectives

What You Need to Succeed

• Bachelor’s degree required; Master’s preferred in Computer Science, Data
Analytics or relevant field

• 7 years experience in a related role/field

• 7 years experience with SQL, Python, or equivalent

• Proficiency with SQL Server, Databricks, storage services and other database
technologies

• Experience with data pipeline orchestration, scheduling, and configuration

• Knowledge of database design and architecture principles, with a drive for
delivering well-documented data products with high throughput and low latency

• Commitment to finding solutions to challenges and enjoy creative problem
solving

• Ability to solve problems collaboratively and build strong relationships

• Experience delivering quality process and outcomes

• Process orientation with strong attention to detail

What Would Make You Stand Out

▪ 2 years of hands-on experience in Databricks

▪ Experience with LLMs, especially employing AI in code development, data
analysis, and document summarization

▪ Familiarity with finance and accounting principles and core business
performance metrics

▪ Understanding of common SaaS contract terms, structures, and verbiage

▪ Proven track record of taking independent action with internal customers to
address their most salient problems and pressing needs

EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”