Remote Databricks Lakehouse Architect

Ex; Austin (TX); Remote; USD 120,000 - 160,000; Full time

Job summary

Databricks seeks a Databricks Data Engineer to join its healthcare analytics team in a full-time remote role based in the United States. You will design and deploy scalable Databricks-based data solutions, build and optimize data pipelines, and lead architecture decisions for data integration and analytics workloads.

You will collaborate with stakeholders to translate requirements into robust, secure data platforms, implement governance, and drive cloud modernization efforts while staying

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.

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.

Skills

Data architecture

ETL/ELT pipelines

Data governance

Communication

Independent work

Problem solving

Education

Bachelor's degree in CS/Engineering

Tools

Databricks

Spark

PySpark

SQL

Job description

Databricks seeks a Databricks Data Engineer to join its healthcare analytics team in a full-time remote role based in the United States. You will design and deploy scalable Databricks-based data solutions, build and optimize data pipelines, and lead architecture decisions for data integration and analytics workloads.

You will collaborate with stakeholders to translate requirements into robust, secure data platforms, implement governance, and drive cloud modernization efforts while staying