Senior Data Engineer

We are UMG the Universal Music Group. We are the worlds leading music everything we do we are committed to artistry innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music music publishing merchandising and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters and we produce distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.

How we LEAD:

We are seeking an experienced and driven Senior Data Engineer Enterprise Data Products within the Global Data & Analytics team.

You are passionate about building scalable reliable and AI-ready data platforms that power enterprise decision-making and advanced analytics. You understand that modern data platforms must not only support reporting but also enable machine learning generative AI and intelligent applications through high-quality well-governed and semantically consistent data.

In this role you will lead teams of data engineers responsible for building and operating domain-specific data products semantic layers and data marts that serve as trusted AI-ready sources of truth across the organization with a strong emphasis on ecommerce data products and Shopify data pipelines.

You will play a key role in shaping how data is structured governed and exposed to support AI/ML use cases feature engineering and semantic consistency across tools and applications.

How youll CREATE:

• Design and build scalable data pipelines and data products that support analytics and AI/ML use cases.

• Build and scale ecommerce data products and pipelines with particular focus on Shopify data such as orders customers products transactions fulfillment and marketing events.

• Develop and maintain AI-ready datasets ensuring high quality consistency and usability for downstream applications.

• Work with data scientists and analysts to support feature engineering model training data and experimentation needs.

• Contribute to building and maintaining semantic layers that standardize business definitions and enable consistent reporting and analysis.

• Implement data validation testing and monitoring to ensure data quality and reliability.

• Build and optimize data models (dimensional curated layers) aligned with business requirements.

• Optimize data storage and query performance by leveraging columnar data structures and databases where applicable.

• Support batch and real-time data pipelines using modern data stack tools.

• Follow best practices for code quality version control and CI/CD in data engineering workflows.

• Collaborate with product analytics and governance teams to ensure data is well-documented discoverable and trusted.

• Troubleshoot and resolve data issues ensuring minimal disruption to downstream users.

Bring your VIBE:

• 58 years of experience in data engineering or related roles.

• Strong experience building data pipelines data models and data platforms.

• Experience working with Shopify data is strongly preferred including Shopify orders/customers/products/fulfillment schemas

• Proven experience handling ecommerce data at scale including orders carts customers product/catalog inventory fulfillment payments refunds/returns promotions/discounts subscriptions web/app clickstream and marketing attribution.

• Preferred: experience handling Shopify data and ecommerce datasets including ingesting modeling validating and reconciling commerce data across platforms.

• Familiarity with AI/ML data requirements including preparing datasets for model training and analytics.

• Hands-on experience working with or contributing to semantic layers (e.g. dbt LookML etc.).

• Solid understanding of data warehousing dimensional modeling and modern data architectures.

• Experience with cloud platforms (AWS Azure or GCP) and tools like Spark Snowflake Databricks or similar.

• Strong SQL skills and proficiency in Python or similar language.

• Experience working with columnar databases or columnar storage formats (e.g. BigQuery Redshift Snowflake Parquet) and optimizing query performance.

• Experience implementing data quality checks and monitoring.

• Ability to work cross-functionally and translate requirements into technical solutions.

• Preferred candidate location: Philadelphia PA (Philly).

Perks Playlist:

Join an entrepreneurial global organization where authenticity boldness creativity connection drive and insight arent just valuestheyre how we work every day. Here are some of the ways we support you along the way (and just a few of the benefits we offer):

• Comprehensive medical dental and vision coverage

• Including 100% coverage for out-patient in-network mental health services

• Fertility coverage for eligible medical plan participants

• Wellbeing reimbursements for fitness classes spa treatments meal services travel and so much more (up to $720/year)

• Student Loan Repayment Assistance and Tuition Reimbursement

• 401(k) with 100% immediate vesting on the first 5% of your contributions plus an additional UMG contribution

A variety of ways to prioritize much-needed time away from work including:

• Flexible Paid Time Off (PTO) for exempt employees

• 3-weeks PTO for non-exempt employees

• 2-weeks paid Winter Break

• 10 Company Holidays (including Juneteenth and Wellbeing Day)

• Summer Fridays (between Memorial Day and Labor Day)

• Generous paid parental leave for every type of parent

Check out our full overview of benefits on the Perks Playlist page of the career site.

Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.

Universal Music Group is an Equal Opportunity Employer

We are an E-Verify employer in Alabama Arizona Georgia Mississippi North Carolina South Carolina Tennessee and Utah.

Please note UMG is not enrolled in E-Verify in California and New York and cannot support employment of candidates whose employer must enroll in E-Verify for example candidates on STEM-OPT.

For more information please click on the following links.

E-Verify Participation Poster:English / Spanish

E-Verify Right to Work Poster:EnglishSpanish

Salary Range:

The actual base salary offered depends on a variety of factors which may include as applicable the qualifications of the individual applicant for the position years of relevant experience specific and unique skills level of education attained certifications or other professional licenses held and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.