Job Description
About the Role:
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.
You Will:
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Serve as a technical leader within the Data Platform org. Provide expert guidance and hands-on development of complex engineering problems and projects
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Collaborate with cross-functional stakeholders including product management engineering analytics and key business representatives to align the architecture vision and roadmap with stakeholder needs
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Establish guidelines controls and processes to make data available for developing scalable data-driven solutions for Analytics and AI
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Create and set best practices for data ingestion integration and access patterns to support both real-time and batch-based consumer data needs
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Implement and maintain data governance practices to ensure compliance data security and privacy.
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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
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Plan and oversee large-scale and complex technical migrations to new data systems and platforms
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Drive continuous data transformation to minimize technical debt
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Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
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Define and lead technology proof of concepts to ensure feasibility of new data technology solutions
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Provide technical leadership and mentorship to the members of the team fostering a culture of technical excellence
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Create comprehensive documentation for design and processes to support ongoing maintenance and knowledge sharing
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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
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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
You Have:
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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
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Proven expertise in designing data platforms for large-scale data and diverse data architectures including warehouses lakehouses and integrated data stores.
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Proficiency and hands-on knowledge in a variety of technologies such as SQL Bash Python Java Presto Spark AWS data streaming like Kafka RabbitMQ
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Hands-on experience and proficiency with data stacks including Airflow Databricks and dbt as well as data stores such as Cassandra Aurora and ZooKeeper
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Experience with data security (including PHI and PII) as well as data privacy regulations (CCPA and GDPR)
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Proficient in addressing data-related challenges through analytical problem-solving and aligning data architecture with organizational business goals and objectives
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Exposure to analytics techniques using ML and AI to assist data scientists and analysts in deriving insights from data
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Analytical and problem-solving skills to address data-related challenges and find optimal solutions
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Ability to manage projects effectively plan tasks set priorities and meet deadlines in a fast-paced and ever changing environmen
Nice To Have:
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Experience working in healthcare or in a B2C company
Our Benefits (there are more but here are some highlights):
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Competitive salary & equity compensation for full-time roles
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Unlimited PTO company holidays and quarterly mental health days
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Comprehensive health benefits including medical dental & vision and parental leave
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Employee Stock Purchase Program (ESPP)
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Employee discounts on hims & hers & Apostrophe online products
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401k benefits with employer matching contribution
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Offsite team retreats
#LI-Remote
Date Posted
07/23/2024
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