Senior Staff Data Engineer - Platform Data and Analytics

United States Digital Space LLC; United States; Hybrid; USD 228,000 - 313,500; Full time

Benefits offered by this job

Equity and benefits

Latest enterprise AI tools

Competitive pay packages

Job summary

United States Digital Space LLC is seeking a Technical Leader in the data space to guide multiple teams in software and analytics. This role involves shaping technology strategies, architecture, and mentoring team members while ensuring robust data practices across the organization.

Your expertise in data streaming, ETL processes, and cloud technologies will play a crucial role in shaping our data infrastructure to meet scalable business demands. Join us to drive innovation and efficiency.

Qualifications

• Experience designing and operating data systems at scale.
• Ability to define architecture patterns for reliable data pipelines.
• Expertise in managing performance and cost trade-offs in data systems.
• Demonstrated experience leading technical teams effectively.

Responsibilities

• Lead projects ensuring data integrity, security, and performance.
• Mentor team members on complex data challenges.
• Balance urgent needs with long-term technology goals.

Skills

Data streaming, ETL/ELT experience

Strong SQL skills

Python programming

Experience with Snowflake

Data warehousing at Petabyte scale

Education

Bachelor's degree in Computer Science/Software Engineering

Tools

AWS

Airflow

Spark

Kotlin

Job description

About the company

the company is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At the company, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role

Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across the company: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance.

This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups.

Within the Platform group:

• The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance.
• The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.

The teams also own relationships with relevant technology infrastructure vendors.

Additionally, this role would influence and interact with all data and analytics related functions at the company. The product analytics engineering (PAE) function enables domain-specific AE capabilities, working closely with Data Science, Strategy & Analytics, Finance. The data science (DS) function leads modeling development and evaluation, raising effectiveness and efficiency of key product features.

We're looking for:

An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands‑on development.

What you'll do

• Plan and execute on technology projects that scale with the company's growth; lead architecture development with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting.
• Engage with team planning and prioritization, balancing urgent and near‑term needs with long‑term goals.
• Provide technical guidance and mentorship on the most difficult open‑ended problems we face. Including cost‑efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.

Qualifications

• Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.
• Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows.
• Strong SQL and Python skills and experience.
• Data warehousing experience at Petabyte scale.
• Snowflake, Airflow, Spark experience especially valuable.
• Understanding of performance, capacity, cost trade‑offs in data processing systems. Experience in guiding technical and product teams on such trade‑offs.
• Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization.
• Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self‑serve model.
• Excellent communication, leadership, and influencing skills.
• A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience.
• Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.

Salary Range

Canada: the pay range for this role is $228,000 to $313,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

the company uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

Hybrid the company employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).

Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Why you'll love working at the company

• Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
• Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
• Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
• Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
• Belonging: We're intentional about building an environment where every the company employee has equal access to opportunities, growth, and success.

the company was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about the company and our customers, you can read more on our blog.

the company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

the company is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/the company-form)

Privacy

For information about the type of personal data the company collects from applicants, as well as your choices regarding the data collected about you, please visit the company's Privacy Notice (https://www.the company.com/privacy)