Principal Data Engineer

Description

At Shutterfly, we make life's experiences unforgettable. We believe there is extraordinary power in the self-expression. That's why our family of brands helps customers create products and capture moments that reflect who they uniquely are.

Shutterfly is looking for a Principal Data Engineer to join their team! As part of the Data Engineering team you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for a $2B customer eCommerce, images and customizable product business. You will enhance the Data Warehouse at Shutterfly on AWS, supporting the breadth and depth of the company's analytic needs, including the BI, Data Sciences, Product Management, Product Marketing, CRM, and Machine Learning teams to deliver data innovations in our Websites and Mobile Apps.


The Data Warehouse, Platform and Infrastructure vision is to provide Shutterfly teams the ability to manage the full life cycle of their data at all levels, simplifying, commoditizing and democratizing its collection, computation and analytics through well-architected use of the AWS.


Note: We are unable to provide visa sponsorship for this position at this time.

What You'll Do Here:

• Own & build design, develop, test, deploy, maintain and enhance full-stack data engineering solutions for the Data Pipelines & Data Mart encompassing the Data Warehouse
• Provide technical leadership to both internal Data Warehouse team as well as to publishers & subscribers of the Shutterfly's Enterprise Data Lake
• Identify, evaluate and evangelize through data-based evidence improvements to the Data Lake as we as the data processing environment; hence influence the data strategy
• With your technical expertise, own and manage project priorities, deadlines and deliverables
• Always with a customer focus, evangelize the benefits of existing solutions and new technologies to drive the use and push the technology of the Data Warehouse forward
• Work closely with Data Operations to improve CI/CD pipelines, as well as continually improve the operations, monitoring and performance of the Data Warehouse
• Work across multiple teams in high visibility roles and own solutions end-to-end

The Skills You'll Bring:

• Expert knowledge of Python, Spark, and SQL; experience with large-scale data processing and distributed systems
• 10+ years of hands-on experience building data platforms, including data pipelines, data warehousing, and feature engineering systems
• Proven experience championing the adoption of AI-powered tools to increase team productivity, reduce manual effort, and improve operational efficiency.
• Strong foundation in data structures, algorithms, and system design for large-scale data and AI systems
• Experience with AWS ecosystem (e.g., S3, EMR, Glue, Lambda, SageMaker) or equivalent cloud platforms (GCP, Azure)
• Hands-on experience with Databricks and modern lakehouse architectures
• Familiarity with real-time data streaming frameworks
• Experience supporting Machine Learning and AI workloads, including feature engineering, model data pipelines, and training data preparation
• Bachelor's / master's degree in computer science or equivalent

Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it's the right thing to do for our business and for our people. We welcome all applicants and evaluate them based on their qualifications. Learn more about our commitment to Diversity, Equity, and Inclusion on our Career Site.

This position will accept applications on an ongoing basis until filled.

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