Principal Data Engineer

July 23

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Description

• 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

Requirements

• 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 environment

Benefits

• Competitive salary & equity compensation for full-time roles • Unlimited PTO, company holidays, and quarterly mental health days • Comprehensive health benefits including medical, dental & vision, and parental leave • Employee Stock Purchase Program (ESPP) • Employee discounts on hims & hers & Apostrophe online products • 401k benefits with employer matching contribution • Offsite team retreats