Senior Databricks Engineer | Lakehouse, AWS, MLOps

Robotics Technologies LLC; Columbus (OH); On-site; USD 140,000 - 180,000; Full time

Job summary

Robotics Technologies LLC is seeking a Senior Databricks Developer to design, build, and optimize large-scale data engineering solutions on Databricks and AWS. The role focuses on Delta Lake, Lakehouse architecture, real-time pipelines, and MLOps integration within a production environment.

The ideal candidate will implement scalable ETL/ELT workflows with PySpark/Scala Spark, support streaming data pipelines, and drive cost-effective performance improvements across enterprise platforms.

Qualifications

• Deep knowledge of Databricks and AWS ecosystems.
• Strong experience with Delta Lake and Lakehouse Architecture.
• Experience with Streaming and Delta Live Tables (DLT).
• Hands-on PySpark and Scala Spark development.
• Experience implementing MLOps in Databricks.
• Knowledge of Data Mesh architecture.
• Advanced cost optimization and performance engineering.

Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Databricks and AWS.
• Implement and optimize Delta Lake and Lakehouse architecture.
• Develop high-performance ETL/ELT pipelines using PySpark and Scala Spark.
• Build and manage high-volume, production-grade data processing workflows.
• Implement real-time and streaming data pipelines using Databricks and Delta Live Tables (DLT).
• Implement and support MLOps solutions within the Databricks ecosystem.
• Apply Data Mesh architecture principles to enterprise data platforms.
• Collaborate with data engineering, architecture, and ML teams to deliver enterprise data solutions.

Skills

Databricks

AWS

Delta Lake

Lakehouse

PySpark

Scala Spark

Delta Live Tables

MLOps

Data Mesh

Cost optimization

Performance engineering

Data Engineer

Tools

Lakeflow

Lakebase

Job description

Robotics Technologies LLC is seeking a Senior Databricks Developer to design, build, and optimize large-scale data engineering solutions on Databricks and AWS. The role focuses on Delta Lake, Lakehouse architecture, real-time pipelines, and MLOps integration within a production environment.

The ideal candidate will implement scalable ETL/ELT workflows with PySpark/Scala Spark, support streaming data pipelines, and drive cost-effective performance improvements across enterprise platforms.