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About the Role
We are seeking an experienced Databricks Solution Architect to join our growing healthcare analytics team. This role is an individual contributor position responsible for solution design, technical leadership, and delivering high-quality data platforms that support analytics, reporting, and operational decision-making.
Responsibilities
- Design and implement scalable data solutions using Databricks Lakehouse architecture.
- Develop and optimize batch and real-time data pipelines for large-scale data processing.
- Lead technical solution design for data integration, transformation, and analytics workloads.
- Collaborate with business stakeholders, data engineers, analysts, and product teams to translate requirements into technical solutions.
- Implement data governance, security, and data quality best practices using Unity Catalog and related technologies.
- Optimize performance, reliability, and cost efficiency of Databricks workloads.
- Support data warehouse modernization and cloud migration initiatives.
- Create architecture documentation, technical standards, and design guidelines.
- Troubleshoot complex data platform issues and provide technical recommendations.
- Stay current with Databricks and cloud platform capabilities and drive adoption of best practices.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- Minimum 5 years of experience in data engineering, data architecture, or related technical roles.
- Hands-on experience with Databricks in enterprise environments.
- Strong knowledge of PySpark, Spark SQL, Python, and SQL.
- Experience designing and implementing Lakehouse architectures.
- Experience building scalable ETL/ELT data pipelines.
- Strong understanding of data modeling, data warehousing, and analytics platforms.
- Experience working with structured and unstructured data.
- Strong problem-solving and communication skills.
- Ability to work independently in a remote environment.
- Experience implementing data governance and security frameworks.
- Experience in the healthcare industry, including claims, clinical, provider, member, or revenue cycle data.
- Experience with Azure, AWS, or GCP cloud platforms.
- Exposure to machine learning and AI/ML workloads on Databricks.
Skills
- Databricks
- PySpark
- Spark SQL
- Python
- SQL
- Lakehouse architecture
- ETL/ELT
- Data modeling
- Data warehousing
- Analytics platforms
- Data governance
- Data security
- Azure
- AWS
- GCP
- Machine learning
- AI/ML
Location
- USA
Work Type
- Full-time
- Remote
Experience Level
- Minimum 5 years of experience
Education Level
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.