Point C
Point C
Point C — брокерлер мен денсаулық сақтау шығындарын өздері қаржыландыратын жұмыс берушілерге қызмет көрсететін денсаулық сақтау жеңілдіктері бойынша серіктес. Компания жеңілдіктер жоспарларын басқарады, медициналық шығындарды басқаруға көмектеседі және жеткізушілердің үйлестірілген интеграциялары, деректерге негізделген талдаулар мен цифрлық құралдар арқылы сапалы медициналық көмекке қолжетімділікті қолдайды. Оның жұмысы клиенттер үшін жеңілдіктерді басқаруды жеңілдетуге, сонымен бірге қызметкерлер мен олардың отбасыларының қатысушы ретіндегі тәжірибесін жақсартуға бағытталған.

Databricks Architect - Remote in the United States

Point C is hiring a remote Databricks Architect to build Azure lakehouse platforms for healthcare benefits data. The role covers claims-data pipelines, governance, and production analytics infrastructure.

Сипаттама

  • Create scalable data platforms with Databricks, Apache Spark, Delta Lake, and SQL, supported by solution architectures and technical design documentation.
  • Develop Bronze, Silver, and Gold Medallion Architecture for enterprise workloads spanning multiple claims systems.
  • Build, tune, and maintain production ETL/ELT pipelines with Databricks Workflows, PySpark, and SQL.
  • Support ADF and ADLS ingestion along with established kill-and-fill dimension patterns.
  • Design and manage data models and Delta tables, including schema evolution, time travel, partitioning, and optimization.
  • Architect Azure solutions that connect cloud storage services and databases.
  • Implement Unity Catalog, access controls, governance, lineage, and security measures.
  • Convert claims-system data dictionaries into Unity Catalog tables for reporting and API use.
  • Set and execute strategies to improve platform performance and control costs.
  • Collaborate with data engineers, analysts, and business stakeholders to turn requirements into technical designs.
  • Establish CI/CD processes for Databricks notebooks, jobs, and infrastructure.
  • Diagnose production pipeline issues and help maintain platform reliability.

Талаптар

  • 5–7 years of experience in data engineering or cloud engineering.
  • Demonstrated hands-on expertise with Databricks and Apache Spark.
  • Advanced proficiency in PySpark and SQL.
  • Strong knowledge of Delta Lake and Medallion Architecture.
  • Experience with at least one cloud platform, specifically Azure.
  • Understanding of data governance, Unity Catalog, IAM/RBAC, and security practices.
  • Experience with Git, CI/CD, and infrastructure-as-code concepts.
  • Strong knowledge of data warehousing, dimensional modeling, and distributed data processing.
  • Azure Data Factory experience is preferred.
  • Terraform experience is preferred.
  • Kafka or other streaming-technology experience is preferred.
  • Experience with Power BI platforms is preferred.
  • Databricks certifications are preferred.
  • Experience designing enterprise data lakes or lakehouses is preferred.

Артықшылықтар

  • Medical, dental, vision, and life insurance coverage.
  • 401(k) retirement plan with an employer match.
  • Health Savings Account and Flexible Spending Account options.
  • Paid time off and disability leave.
  • Employee Assistance Program.

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