Senior Staff Engineer - Data

About Harry’s 

Harry’s Inc. is building a modern CPG company by putting people first and delivering against real unmet consumer needs.

The company’s flagship brand - Harry’s -  was founded by Jeff Raider and Andy Katz-Mayfield in 2013. After successfully launching and scaling Harry’s, Jeff and Andy saw an opportunity to bring their experience building Harry’s to other CPG categories where the consumer has also been historically underserved.

Harry’s Inc. has grown significantly over the last ten years, and is now made up of four brands -  Harry’s, Flamingo, Lume, Mando -  and Harry’s Labs, the company’s incubation and M&A engine. The company employs more than 900 people across the U.S., U.K. and Germany, and is the largest CPG company built in the last 20 years.

At Harry’s Inc, our mission is to Create Things People Like More — whether it's a product, an experience, or an internal tool, we believe in making the things around us better for our customers, and our team.

Our mission extends beyond customers and team, to the community broadly. We believe that the best business models make a positive impact. That's why our brands donate year-round to nonprofit organizations that align with their social missions.

At the end of the day, the key to our success is our amazing people. From chemists, mechanical engineers, CX associates, to creative directors, sourcing managers, and logistics specialists, the Harry’s team is composed of some of the most brilliant, diverse, and humble people you’ll ever meet. Our company is a place of inclusion, innovation, and deeply ingrained values.

The Harry's Inc working model is in-office Tuesday, Wednesday, and Thursday. Our beautiful 70,000 square foot SoHo office is decked out with bagels on Wednesdays and lunch on Thursdays, and fully stocked kitchens with snacks, coffee, and drinks everyday.  Can’t forget the free products and the opportunity to have some meetings without Zoom!

About The Role

As a Senior Staff Engineer - Data, you will play a pivotal role in shaping Harry’s & Flamingo’s data engineering strategy within our broader Data Team. This position requires deep technical expertise, a passion for data-driven solutions, and a proven ability to deliver impactful data engineering outcomes. You will be responsible for designing and optimizing scalable data pipelines, enabling robust data ingestion and analytics, and ensuring data is readily accessible and actionable for stakeholders.

In this role, you will drive initiatives that maximize the value of data across the organization, empower cross-functional teams with timely and reliable insights, and collaborate with leadership and partners to align data engineering efforts with business priorities. Your work will accelerate how quickly data can support decision-making and deliver measurable value across Harry’s & Flamingo.

About the Team

Our team combines expertise in data engineering, product management, platform development, and site reliability engineering (SRE) to build scalable, data-driven solutions that support key stakeholders across various business functions, including CIA, DTC, Retail, Engagement, Marketing, and Manufacturing at Harry’s Inc. We are committed to delivering actionable insights, cost-efficient platforms, and resilient infrastructure that ensure data accuracy, process optimization, and continuous innovation.

Our team fosters a culture of collaboration, ownership, and innovation, empowering the organization to make data-driven decisions confidently, adapt to emerging technologies, and maintain agility in a competitive environment. We aim to empower teams with strategic insights and operational excellence, fueling sustainable growth and long-term success.

What You Will Accomplish

• Design and implement robust pipelines to ingest, process, and transform data, ensuring it is optimized for analytics and reporting.
• Build scalable ELT pipelines and integrate data using Open Source, internal tools and AWS technologies, while applying DevOps practices like CI/CD, IaC, and automation to enhance workflow efficiency and scalability
• Lead the evaluation, selection, and integration of data technologies and tools to address both current and future organizational requirements
• Collaborate with stakeholders to understand reporting needs and translate business objectives into actionable technical and data engineering requirements.
• Develop and maintain data pipelines to ingest, process, and transform data from diverse sources, including REST and GraphQL APIs, Google Drive and Sheets, S3, and data wa