Staff Software Engineer, Data

About The Role As a Staff Software 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. 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 warehouses. Collaborate with cross‑functional teams to create innovative, scalable data solutions that address complex business challenges and 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, and AWS Step Functions. Develop and apply advanced knowledge of optimal data structures and transformation techniques to design solutions for complex business challenges. Design and implement processes to extract, ingest, and integrate data through REST and GraphQL APIs. Extensive experience with Data Warehouses, Database technologies, and Big Data ecosystems, including AWS Redshift and AWS S3‑based data lakes for managing and processing structured and unstructured datasets. Develop and implement strategies to measure, monitor, and improve data quality. Data Architecture & Modeling: Design and manage large‑scale data warehouses and marts, creating clean, accessible fact and dimension tables to drive insights. Data Transformation: Build and optimize data transformation pipelines using tools like dbt, supporting data flow from ingestion through analytics. Develop and enforce data governance practices and quality standards, ensuring accurate data lineage, comprehensive documentation, and 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 and analytics engineering experience modeling and developing data pipelines with hands‑on proficiency in PySpark, Airflow DAGs and EMR. Strong Python and SQL skills for processing large datasets, with experience in MPP/cloud databases (Snowflake, Redshift, BigQuery) and data modeling tools like dbt. Explore emerging technologies in AI and data engineering, delivering innovative solutions and shaping strategic decisions within the organization. Oversee the planning, execution, and successful delivery of data engineering projects, ensuring alignment with business goals, operational efficiency, and high‑quality outcomes. Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices. Identify and define technical requirements for platform improvements that prioritize developer productivity, cost optimization, and 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 and overall company goals. Facilitate technical scoping sessions to help Product teams manage stakeholder expectations, align with roadmap priorities, and support overall company objectives. Collaborate with cross‑functional teams to align data initiatives with business objectives and ensure seamless integration of new technologies. Excellent communication and interpersonal skills, with an ability to convey technical information to non‑technical stakeholders. Manage projects and workflows effectively to consistently deliver on commitments, navigating challenges with resilience and problem‑solving. Prioritize customer needs by evaluating and proposing thoughtful solutions and tradeoffs, ensuring optimal outcomes while guiding and mentoring others to maintain a customer‑centric approach. You’re committed to growth. You seek to understand by asking questions and leading with curiosity. You assume best intent and know that giving and receiving feedback helps you and your team grow. Experience with DTC, e‑commerce, subscription‑based business, and/or CPG Industry experience is plus. Familiarity with IAM, and data governance best practices. You are a problem solver with strong attention to detail and excellent analytical skills. Here’s Who You’ll Work With Reporting to the Director of Engineering and a member of the Engineering Team. Work closely with the product owner and engineering team members across Platform, SRE, and Data team. Partner with cross‑functional teams and partners across Harry’s Inc. Benefits Medical, dental, and vision coverage. 401k match. Equity in Harry’s. Flexible time off and working hours. Wellness and L & D stipends. 4 weeks sabbatical after 5 years, 6 weeks after 10 years, and 8 weeks after 15 years. Up to 20 weeks of pregnancy leave and up to 16 weeks of parental leave. Fun IRL and virtual events including happy hours, team building events, and parties on our rooftop. Free products from all of our brands. Compensation The base salary hiring range for this position is $148,400 - $204,050; the final compensation offer will ultimately be based on the candidate’s location, skill level and experience. Equity Employment Opportunity Statement Harry’s is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. Harry’s is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and 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 and protective hairstyles or any other status protected under applicable federal, state and local laws. Harry’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company. How to Apply Interested in this position? Please submit your resume and cover letter through the application portal. #J-18808-Ljbffr