Principal Data Engineer, Hims & Hers

• Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership
• Proven expertise in designing data platforms for large-scale data and diverse data architectures, including warehouses, lakehouses, and integrated data stores
• Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ,
• Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper
• Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR)
• Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
• Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
• Analytical and problem-solving skills to address data-related challenges and find optimal solutions
• Ability to manage projects effectively, plan tasks, set priorities, and meet deadlines in a fast-paced and ever changing environmen

Desirable

• We're looking for an experienced Principal Data Engineer to join our Data Platform Engineering team
• Our team is responsible for enabling H&H business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, Engineering) by providing a platform with a rich set of data and tools to leverage
• Serve as a technical leader within the Data Platform org. Provide expert guidance and hands-on development of complex engineering problems and projects
• Collaborate with cross-functional stakeholders including product management, engineering, analytics, and key business representatives to align the architecture, vision, and roadmap with stakeholder needs
• Establish guidelines, controls, and processes to make data available for developing scalable data-driven solutions for Analytics and AI
• Create and set best practices for data ingestion, integration, and access patterns to support both real-time and batch-based consumer data needs
• Implement and maintain data governance practices to ensure compliance, data security, and privacy
• Design and lead development on scalable, high-performance data architecture solutions that supports both the consumer side of the business as well as analytic use cases
• Plan and oversee large-scale and complex technical migrations to new data systems and platforms
• Drive continuous data transformation to minimize technical debt
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
• Provide technical leadership and mentorship to the members of the team, fostering a culture of technical excellence
• Create comprehensive documentation for design, and processes to support ongoing maintenance and knowledge sharing
• Conduct design reviews to ensure that proposed solutions address platform and stakeholder pain points, as well as meet business, and technical requirements, with alignment to standards and best practices
• Prepare and deliver efficient communications to convey architectural direction and how it aligns with company strategy. Be able to explain the architectural vision and implementation to executives