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Principal Data Stack Architect
Confirmed live in the last 24 hours
Remote • United States
Experience Level
Desired Skills
Apache Kafka
Data Analysis
  • Knowledge and hands-on expertise in the following technologies: RDBMS, NoSQL, Big Data technologies, distributed technologies, ETL tools, data modeling for transactional as well as reporting focuses. Technologies like: Kafka, Kenesis, Analytics Platforms, API Management and BI a plus
  • Experience with security in cloud environments around HIPAA, PHI/PII data, data encryption at rest and in transit as well security concepts like tokens, federated security models and secrets management
  • Experience in data modeling, profiling and database access pattern optimizations
  • Must be passionate about technology transformations
  • Current experience with Data Ops
  • Hands on experience with the following technologies: python, PySpark, Databricks, SQL , scala
  • Architect and execute development of a highly scalable modern data stack on AWS that enables collection, storage, modeling and analysis of massive data sets from numerous channels with an emphasis on proper security and data governance best practices
  • Provide expertise on the overall data eco-system's engineering best practices, standards, architectural approaches and complex technical resolutions
  • Leading the target state of technology, architecture and roadmapping for the next generation of HealthVerity data tools
  • Identify explicit/implicit technical assumptions and devise corresponding experimentation to validate the key resiliency assumptions
  • Act as a liaison with other architects (security, infrastructure, data, engineering) and with delivery teams working primarily within an Agile (Scrum) methodology
  • Communicates complicated technical concepts effectively to a broad group of stakeholders
  • Work with engineering teams across the technology organization, deliver the strategy through clear leadership/direction, influence and integration with agile development processes
  • Research and provide recommendations on automating administration tasks and contribute to the evolving systems architecture to meet changing requirements for scaling, reliability, performance and manageability
  • Participate in technology proof of concepts to ensure feasibility of chosen architectures
Desired Qualifications
  • 15+ years of experience in software/platform engineering or data analytics
  • 10+ year healthcare experience
  • Solid experience with an understanding of data management, SaaS, Information Security, and integration of data platforms
  • Architected and designed data lakes (we use AWS & Databricks!)
  • Built data lakes to handle the three “V” of big data (volume, velocity & variety)

201-500 employees

Health data exchange platform
Company Overview
HealthVerity's mission is to transform the healthcare industry by creating a high-governance, privacy-compliant way for the healthcare industry to connect and exchange real-world data across the broadest ecosystem, enabling longitudinal patient journeys, frictionless access to data and better patient outcomes.
  • Medical, dental, & vision
  • 401k
  • Stock options
  • Flexible location
  • Generous PTO
  • Mentorship program
  • Professional development