Senior Staff Data Engineer

Company Description

About Shopify
Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. Since 2006, we’ve grown to over 10,000 employees and generated over $500 billion in sales for millions of merchants in 175 countries. Every 28 seconds, an entrepreneur on Shopify makes their first sale.

This is life-defining work that directly impacts people’s lives as much as it transforms your own. This is putting the power of the few in the hands of the many, is a future with more voices rather than fewer, and is creating more choices instead of an elite option.

About you
Moving at our pace brings a lot of change, complexity, and ambiguity—and a little bit of chaos. Shopifolk thrive on that and are comfortable being uncomfortable. That means Shopify is not the right place for everyone.

Before you apply, consider if you can:

• Care deeply about what you do and about making commerce better for everyone
• Excel by seeking professional and personal hypergrowth
• Keep up with an unrelenting pace (the week, not the quarter)
• Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
• Bring critical thought and opinion — and embrace differences and disagreement to get shit done and move forward
• Work digital-first for your daily work

Job Description

Core Optimize Data Science & Engineering is an interdisciplinary product group that builds:

• the foundational data infrastructure that powers the analytical experiences for millions of merchants globally
• product analytics to understand how merchants use analytics to grow their businesses
• discovery and investigation data products to enable deeper usage of analytics for merchants 
• ML powered data products that render network effects to merchants

The OptimizeDevelop Data Engineering team plays a critical role within this group, developing the backend tools, capabilities, data models, and interfaces for Shopify and its partners to access the freshest, cleanest data available. Shopify's Editions | Winter '23 showcases this work.

In this role, you will serve as technical lead for large parts of our infrastructure investments, extending the current capabilities of our data access layer, data models, and data warehouse to enable new analytical experiences for millions of merchants around the world. Your team will partner with Data Science, Data Foundations, Compute and Streaming teams by maintaining and optimizing backend infrastructure tooling for analytical model and ETL development. 

The tooling developed and maintained by this group allows our Data Scientists to operationalize complex, low latency data sets that drive analytical experiences from initial deployment through to production. You will be tasked with providing technical leadership within your team to support the mission and working closely with a cross-functional team of data scientists, data engineers, and engineering leaders.

Check out the Data Science & Engineering blog for more insight on what our Data organization is building here at Shopify!

Qualifications

• As a data engineering leader, you proactively identify opportunities and own outcomes across multiple product, business, and data domains, leveraging data engineering skills to solve difficult problems
• You have experience effectively driving strategy, decisions, execution, and the data narrative for high impact areas, communicating effectively with senior decision makers to drive alignment
• You're highly technical, and have deep knowledge of data infrastructure, data operations and data integrity systems at massive scale.
• You provide thought leadership and guidance to the data community beyond 1:1 mentorship
• You have a deep understanding of the modern data stack including Flink, binary storage formats like Parquet, dbt or spark, SQL engine, etc.
• You naturally lean toward mentoring high-caliber engineers with diverse technical strengths and backgrounds.
• You bring exceptional communication skills, can easily translate technical concepts into easy to understand language for stakeholders and partners.
• You are committed to continuous improvement and technical excellence.

Additional Information

We know that looking for a new role can be both exciting and time-consuming, so we truly appreciate your effort. We want to know what you're really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖 

Closing date for this posting is scheduled for April 3, 2023.

Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

Interested, but not ready to apply? 
Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/teams/engineering

At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.