About Harrys 

Harrys is building a modern CPG company by putting people first & delivering against real unmet consumer needs.

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

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

At Harrys 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, & our team.

Our mission extends beyond customers & 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, & logistics specialists, the Harrys team is composed of some of the most brilliant, diverse, & humble people youll ever meet. Our company is a place of inclusion, innovation, & deeply ingrained values.

The Harry's Inc working model is in-office Tuesday, Wednesday, & Thursday. Our beautiful 70,000 square foot SoHo office is decked out with bagels on Wednesdays & lunch on Thursdays, & fully stocked kitchens with snacks, coffee, & drinks everyday.  Cant forget the free products & 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 Harrys & Flamingos data engineering strategy within our broader Data Team. This position requires deep technical expertise, a passion for data-driven solutions, & a proven ability to deliver impactful data engineering outcomes. You will be responsible for designing & optimizing scalable data pipelines, enabling robust data ingestion & analytics, & ensuring data is readily accessible & 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 & reliable insights, & collaborate with leadership & partners to align data engineering efforts with business priorities. Your work will accelerate how quickly data can support decision-making & deliver measurable value across Harrys & Flamingo.

About the Team

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

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

What You Will Accomplish

• Design & implement robust pipelines to ingest, process, & transform data, ensuring it is optimized for analytics & reporting.
• Build scalable ELT pipelines & integrate data using Open Source, internal tools & AWS technologies, while applying DevOps practices like CI/CD, IaC, & automation to enhance workflow efficiency & scalability
• Lead the evaluation, selection, & integration of data technologies & tools to address both current & future organizational requirements
• Collaborate with stakeholders to understand reporting needs & translate business objectives into actionable technical & data engineering requirements.
• Develop & maintain data pipelines to ingest, process, & transform data from diverse sources, including REST & GraphQL APIs, Google Drive & Sheets, S3, & data warehouses.
• Collaborate with cross-functional teams to create innovative, scalable data solutions that address complex business challenges & support informed decision-making.
• Proven experience working with AWS services, including AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, Amazon CloudWatch, Amazon SNS, & AWS Step Functions.
• Develop & apply advanced knowledge of optimal data structures & transformation techniques to design solutions for complex business challenges.
• Design & implement processes to extract, ingest, & integrate data through REST & GraphQL APIs
• Extensive experience with Data Warehouses, Database technologies, & Big Data ecosystems, including AWS Redshift & AWS S3-based data lakes for managing & processing structured & unstructured datasets
• Develop & implement strategies to measure, monitor, & improve data quality 
• Oversee the planning, execution, & delivery of engineering projects, optimizing for quality, efficiency, & alignment with business goals.
• Data Architecture & Modeling: Design & manage large-scale data warehouses & marts, creating clean, accessible fact & dimension tables to drive insights.
• Data Transformation: Build & optimize data transformation pipelines using tools like dbt, supporting data flow from ingestion through analytics.
• Develop & enforce data governance practices & quality standards, ensuring accurate data lineage, comprehensive documentation, & robust metadata management.

This should describe you

• Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
• Minimum 7 years of related data & analytics engineering experience modeling & developing data pipelines with hands-on proficiency in PySpark, Airflow DAGs & EMR. 
• Strong Python & SQL skills for processing large datasets, with experience in MPP/cloud databases (Snowflake / Redshift / BigQuery) & data modeling tools like dbt.
• Explore emerging technologies in AI & data engineering, delivering innovative solutions & shaping strategic decisions within the organization. 
• Oversee the planning, execution, & successful delivery of data engineering projects, ensuring alignment with business goals, operational efficiency, & high-quality outcomes.
• Familiarity with Data Modeling techniques & Data Warehousing standard methodologies & practices 
• Identify & define technical requirements for platform improvements that prioritize developer productivity, cost optimization, & evolving business needs.
• Collaborate with cross-functional teams to facilitate technical scoping sessions, aligning data initiatives with business objectives, managing stakeholder expectations to support roadmap priorities & overall company goals. 
• Facilitate technical scoping sessions to help Product teams manage stakeholder expectations, align with roadmap priorities, & support overall company objectives.
• Collaborate with cross-functional teams to align data initiatives with business objectives & ensure seamless integration of new technologies
• Excellent communication & interpersonal skills, with an ability to convey technical information to non-technical stakeholders
• Manage projects & workflows effectively to consistently deliver on commitments, navigating challenges with resilience & problem-solving.
• Prioritize customer needs by evaluating & proposing thoughtful solutions & tradeoffs, ensuring optimal outcomes while guiding & mentoring others to maintain a customer-centric approach.
• Youre committed to growth. You seek to understand by asking questions & leading with curiosity. You assume best intent & know that giving & receiving feedback helps you & your team grow.
• Experience with DTC, e-commerce, subscription based business, and/or CPG Industry experience is plus.
• Familiarity with IAM, & data governance best practices
• Excellent communication & interpersonal skills, with an ability to convey technical information to non-technical stakeholders
• You are a problem solver with strong attention to detail & excellent analytical skills
  
  

Here's Who You'll Work With

• Reporting to the Director of Engineering & a member of the Engineering Team.
• Work closely with the product owner & engineering team members across Platform, SRE, & Data team.
• Partner with cross-functional teams & partners across Harrys

Benefits & perks

• Medical, dental, & vision coverage
• 401k match
• Equity in Harrys 
• Flexible time off & working hours
• Wellness & L&D stipends
• 4 weeks sabbatical after 5 years, 6 weeks after 10 years, & 8 weeks after 15 years 
• Up to 20 weeks of pregnancy leave & up to 16 weeks of parental leave
• Fun IRL & virtual events including happy hours, team building events, & parties on our rooftop
• Free products from all of our brands

Harrys is committed to bringing together individuals from different backgrounds & perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, & do great work together.

Harrys is an Equal Opportunity Employer, providing equal employment & advancement opportunities to all individuals. We recruit, hire & promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth & related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, domestic violence victim status, arrest/conviction record, sexual or reproductive health decisions, caregiver status, credit history immigration status, unemployment status, traits historically associated with race, including but not limited to hair texture & protective hairstyles or any other status protected under applicable federal, state & local laws. Harrys commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline & access to benefits & training.

We respect the laws enforced by the EEOC & are dedicated to going above & beyond in fostering diversity across our company.

We cant quantify all of the intangible things we think youll love about working at Harrys, like the exciting challenges we tackle, the smart & humble team youll get to work with, & our supportive & inclusive culture. That said, our salary ranges are based on paying competitively for our size & industry, & are one part of our total rewards package, which also includes a comprehensive set of benefits & our equity program. The base salary hiring range for this position is $183,200-$251,900, but the final compensation offer will ultimately be based on the candidates location, skill level & experience.