- Location
- United States - Remote
- Workplace
- Remote
- Department
- EDI/IT
- Source
- Greenhouse
Description
Point C is a National third-party administrator (TPA) with local market presence that delivers customized self-funded benefit programs. Our commitment and partnership means thinking beyond the typical solutions in the market – to do more for clients – and take them beyond the standard “Point A to Point B.” We have researched the most effective cost containment strategies and are driving down the cost of plans with innovative solutions such as, network and payment integrity, pharmacy benefits and care management. There are many companies with a mission. We are a mission with a company.
We're looking for a Databricks Architect & Developer to design and build enterprise-scale data platforms supporting multiple claims systems. This role will own the end-to-end lakehouse architecture — from ingestion through governance — while partnering closely with data engineers, analysts, and business stakeholders to translate requirements into robust, production-ready technical solutions on Azure.
Primary Responsibilities:
- Design and implement scalable data platforms using Databricks, Apache Spark, Delta Lake, and SQL, producing solution architecture and technical design documentation.
- Develop Medallion Architecture (Bronze, Silver, Gold) for enterprise data workloads from multiple claim systems (VBA, Quicklink, HealthPac, and file-based TPAs).
- Build and optimize production-grade ETL/ELT pipelines using Databricks Workflows, PySpark, and SQL.
- Work with ADF+ADLS ingest and existing kill-and-fill dimension patterns.
- Design and maintain data models and Delta tables, implementing schema evolution, time travel, partitioning, and optimization.
- Design solutions on Azure, integrating cloud storage and databases.
- Implement Unity Catalog, access controls, data governance, lineage, and security.
- Translate claim-system data dictionaries into Unity Catalog tables for reporting and APIs.
- Define and execute performance and cost-optimization strategies across the platform.
- Work with data engineers, analysts, and business stakeholders to translate requirements into technical designs.
- Establish CI/CD practices for Databricks notebooks, jobs, and infrastructure.
- Troubleshoot production data pipelines and support platform reliability.
Qualifications:
Required
- 5–7 years of data engineering/cloud experience.
- Strong hands-on experience with Databricks and Apache Spark.
- Advanced PySpark and SQL.
- Strong understanding of Delta Lake and Medallion Architecture.
- Experience with at least one cloud platform: Azure.
- Knowledge of Data Governance, Unity Catalog, IAM/RBAC, and security.
- Experience with Git, CI/CD, and infrastructure-as-code concepts.
- Strong understanding of data warehousing, dimensional modeling, and distributed data processing.
Preferred
- Azure Data Factory
- Terraform
- Kafka or other streaming technologies
- Power BI platforms
- Databricks certifications
- Experience designing enterprise data lakes/lakehouses
Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.
- Comprehensive medical, dental, vision, and life insurance coverage
- 401(k) retirement plan with employer match
- Health Savings Account (HSA) & Flexible Spending Accounts (FSAs)
-
Paid time off (PTO) and disability leave
- Employee Assistance Program (EAP)
Equal Employment Opportunity: At Point C Health, we know we are better together. We value, respect, and protect the uniqueness each of us brings. Innovation flourishes by including all voices and makes our business—and our society—stronger. Point C Health is an equal opportunity employer and we are committed to providing equal opportunity in all of our employment practices, including selection, hiring, performance management, promotion, transfer, compensation, benefits, education, training, social, and recreational activities to all persons regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, genetic information, pregnancy, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, and military and veteran status, or any other protected status protected by local, state or federal law.