
About Pattern
Enhancing everyday life with quality home products
Key Highlights
- Raised $69M in Series B funding led by Toba Capital
- Headquartered in Chinatown, New York, NY
- Offers a diverse portfolio including Yield and Poketo
- Focus on sustainability and ethical practices
Pattern is a New York-based direct-to-consumer brand focused on enhancing everyday life through quality home products. With a portfolio that includes brands like Yield and Poketo, Pattern has raised $69 million in Series B funding led by Toba Capital to expand its offerings. Competing against giants...
🎁 Benefits
Pattern offers a comprehensive benefits package including equity opportunities, health insurance, and flexible work-from-home arrangements to support ...
🌟 Culture
Pattern fosters a customer-centric culture that prioritizes sustainability and ethical practices, setting itself apart in the competitive eCommerce la...
Skills & Technologies
Overview
Pattern is hiring a Principal / Staff Data Engineer to lead the design and optimization of enterprise-scale data pipelines. You'll work with machine learning and AI technologies to enhance data-driven decision-making. This role requires extensive experience in data engineering.
Job Description
Who you are
You have a strong background in data engineering with a focus on building and optimizing data pipelines — your experience includes designing enterprise-scale architectures that support data-driven decision-making across various teams. You are passionate about leveraging machine learning and AI to drive business outcomes, and you thrive in environments where data is at the core of strategic initiatives.
With a deep understanding of data architecture, you excel at architecting efficient data tables and schemas that enhance query performance — you have a knack for ensuring seamless integration with cross-functional teams, enabling them to leverage data effectively. Your problem-solving skills are complemented by your ability to communicate complex technical concepts to non-technical stakeholders, fostering collaboration and understanding.
You are driven by a desire to push the boundaries of what data can achieve in the e-commerce space — your hustle and analytical mindset allow you to tackle challenges head-on, ensuring that the data infrastructure supports the rapid growth of the organization. You are also committed to continuous learning and staying updated with the latest trends in data engineering and machine learning.
Desirable
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with tools like Apache Spark or Airflow. You may also have experience in optimizing data workflows and enhancing data quality, which would further strengthen your candidacy.
What you'll do
In this role, you will lead the design, development, and optimization of enterprise-scale data pipelines that drive data-driven decision-making across the organization. You will architect efficient data tables and schemas to enhance query performance, ensuring that data is readily accessible and actionable for various teams. Your responsibilities will include collaborating with cross-functional teams to understand their data needs and translating those into scalable solutions.
You will also be responsible for implementing best practices in data management and governance, ensuring that data integrity and security are maintained. As a leader in the data engineering team, you will mentor junior engineers, sharing your expertise and fostering a culture of continuous improvement. Your work will directly impact the success of global brands leveraging Pattern's e-commerce acceleration platform, making your contributions vital to the company's growth.
What we offer
Pattern offers a dynamic work environment where employee experience is prioritized. You will have the opportunity to work with cutting-edge technology and be part of a team that is recognized for its innovative approach to e-commerce. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective and skills could be the perfect fit for our team. Join us in transforming the e-commerce landscape and making a significant impact on global brands.
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