Senior Data Engineer

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.

How You’ll 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

• 5–8 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 with columnar databases or columnar storage formats (e.g., BigQuery, Redshift, Snowflake, Parquet) and optimizing query performance.
• Experience implementing data quality checks and monitoring.
• Able to work cross-functionally and translate requirements into technical solutions.