# Senior Data Engineer - Philadelphia, 19109 at Universal…

> Source: https://confidential.careers/job-detail/senior-data-engineer-philadelphia-19109-universal-music-group-philadelphia

# Senior Data Engineer - Philadelphia, 19109

Universal Music Group 

** Philadelphia, United States ** Full Time ** Engineering Jobs ** United States ** New

[Apply Now](https://confidential.careers/go/10647420) ** Save 

## Job Description

## Senior Data Engineer - Philadelphia, 19109, United States of America

**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).

Posted August 14, 2026