[Hiring] Databricks Architect @Point C

Role Description

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.

• 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

• 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.

Requirements

• Preferred: Azure Data Factory
• Preferred: Terraform
• Preferred: Kafka or other streaming technologies
• Preferred: Power BI platforms
• Preferred: Databricks certifications
• Preferred: Experience designing enterprise data lakes/lakehouses

Benefits

• 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)