Databricks Architect

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $100k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏛️ Architect

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Point C

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛡️ Insurance

💼 Consulting

📦 Logistics

Insurance • Consulting • Logistics

Point C is a trusted health benefits partner that delivers meaningful solutions for brokers and their self-funded clients. The company specializes in administering benefit plans, managing medical costs effectively, and ensuring a high-value experience for members. With a focus on vendor integration and data-driven insights, Point C aims to simplify the benefit process while providing access to quality care and innovative mobile tools for its clients and their employees.

📋 Description

• 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 • 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

🎯 Requirements

• 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 • 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)