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Data Architect/Senior Data Architect 1710 views

agilon health is transforming healthcare by empowering community-based physicians with the resources and expertise they need to innovate the payment and delivery of care for seniors. The agilon health Total Care Model is powered by their purpose-built platform and enabled through a growing national network of like-minded physician partners. With agilon health, physicians are freed from the constraints of the transactional fee-for-service reimbursement model and are able to practice team-based, coordinated care to serve the individual needs of their senior patients and to transition to a sustainable and predictable, long-term business model.

As a member of agilon health’s Technology Group, step into a lead role on an expanding data engineering team to build foundational architecture for their cloud-based data services from the cloud data lake, data ingestion pipelines for bulk, batching, and streaming use cases to data engineering and transformation modules, all running on AWS. This is a great opportunity to help define and implement their data platform strategy on Cloud, have a meaningful impact on their customers, and work in their high energy, innovative, fast-paced Agile culture, in a leading tech company in the healthcare space

Job Functions:

  • The data architect will work with agilon health’s cloud data warehouse platform in a lead role on data architecture, modeling, merging data process, and overall design methodology end to end.

  • Architect and design AWS based data pipelines for ingestion and transformation of data at scale

  • Implement, operationalize and scale their cloud-based data lake to meet critical business and customer needs

  • Responsible for providing design, modeling, development, validation, and process improvement for the evolving cloud data warehouse environment at agilon health.

  • The key responsibility for developing a process for data management, data access, and data storage models.

  • Responsible for support of the SQL environment, performance improvement, capacity planning, cloud cost management, and recommends best practices for query optimization & throughput on the cloud data warehouse


  • 8+ years of hands-on experience with architecting, designing, and implementing end to end data services from ingestion, transformation, and access in a cloud environment

  • Hands-on experience working with cloud data warehouse/data lake solutions (Snowflake, Redshift, Google BigQuery, or equivalent platform.

  • Experience in relational databases (e.g., PostgreSQL, MySQL, MS SQL Server, Oracle).

  • Experience working with semi-structured and unstructured data (JSON, XML, etc)

  • Proficiency in data modeling, very good understanding of data management concepts such as 3NF, Dimensional and their specific applications

  • Strong software engineering experience and deep familiarity with programming languages such as Python, Java, Node.js, or equivalent.

  • Deep experience working with at least one public cloud solution AWS, Azure, or GCP.

  • Experience working on BI platforms such as Talend, Informatica, Qlik, Tableau, or equivalent solutions.

  • Preferred experience working in the scrum or agile teams & understanding of CI/CD pipelines.

  • Preferred experience acting or working in a BI consultant role, comfortable working with business leadership across corporate verticals to translate business requirements into data architecture.

  • Preferred experience with health care data sets

  • Undergraduate degree from an accredited 4-year institution.

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