Data Architect

​​About the Role:

We're looking for an experienced Data Architect to join our Data Platform Engineering team. Our team is responsible for enabling Hims & Hers business (Product Analytics Operations Finance Data Science Machine Learning Customer Experience and Engineering) by providing a platform with a rich set of data and tools to leverage.

As a data architect you will focus on the big picture of an organization’s data strategy. You will work closely with other architects engineering product analytics data science and DevOps leaders to align the data architecture with the overall business goals and objectives.

Your primary responsibility is to develop a cohesive data architecture that supports the organization’s long-term vision. You design efficient data storage structures data models standards and optimize data retrieval for reporting analytics and AI purposes.

You Will:

• Collaborate with internal departments to define the strategic data architecture vision roadmap and improve processes data detail and business applications

• Establish guidelines controls and processes to make data available for developing scalable data-driven solutions for Analytics and AI

• Enforce data ingestion integration and access patterns to support both real-time and batch-based consumer data needs

• Implement security measures to safeguard sensitive data from unauthorized access ensuring data privacy and compliance with relevant regulations

• Plan and oversee data migration processes when transitioning to new data systems and platforms

• Drive continuous data transformation to minimize technical debt

• Display strong thought leadership 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

• Create comprehensive documentation for design and processes to support ongoing maintenance and knowledge sharing

• Conduct architectural reviews to ensure the solution addresses customer pain points business and technical requirements and alignment to standards and best practices

• Prepare and deliver comprehensive communications to convey data architectural direction and how it aligns with enterprise strategy and able to sell the strategy and implementation to executives

You Have:

• 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

• We are open to proficiency in a variety of technologies: SQL Bash Python Java Presto Spark AWS DataOps DevSecOps data streaming like Kafka RabbitMQ data stacks like Airflow Databricks dbt and data stores like Cassandra Aurora 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 environment

Nice to Have:

• Experience working in healthcare

• Experience working in B2C or FinTech

• Previous working experience at startups

Our Benefits (there are more but here are some highlights):

• 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

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