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# Senior Databricks Developer - AWS

- **Company:** SGN GLOBAL TECHNOLOGIES, LLC
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Salary:** $135,200 - $156,000
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Big Data, Data Architecture, Data Validation, Information Engineering, Data Governance, Software Debugging, Distributed Computing Environment, Apache Hive, Operational Databases, Performance Tuning, Data Mesh, Data Streaming, Data Processing, Apache Spark, Data Lakes, Pyspark, Deployment Automation, AWS Data Analytics, Data Management, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** October 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=531c13cdd0811d4b

## About the Role

* Strong hands-on experience with Databricks development.
 * Expertise in AWS data services, including S3, Glue, Lambda, and related services.
 * Advanced knowledge of PySpark, Spark SQL, and Apache Spark.
 * Strong experience with Delta Lake and Lakehouse architecture.
 * Experience developing production-grade data pipelines.
 * Knowledge of Lakeflow, Delta Live Tables (DLT), and streaming data pipelines.
 * Strong debugging, performance tuning, and problem-solving skills.

Preferred Qualifications

 * Experience with Scala and advanced Spark optimization.
 * Knowledge of Databricks MLOps and model deployment workflows.
 * Understanding of Data Mesh architecture and data governance.
 * Experience with Lakebase.
 * Financial services or banking domain experience is a plus.

Important Candidate Requirements

 * Must be available to work onsite five days a week in Wilmington, DE or Columbus, OH.
 * Strong hands-on Databricks development experience is mandatory.
 * Generic Data Engineer profiles without substantial Databricks development experience will not be considered.
 * Pure administration or architecture-only profiles are not suitable for this position.
 * Candidates should have experience building and supporting production data pipelines.

## Description

We are seeking an experienced Senior Databricks Developer with strong hands-on expertise in Databricks, AWS, PySpark, and modern data engineering technologies. The ideal candidate will have proven experience developing, optimizing, and supporting enterprise-scale data pipelines in production environments., * Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Spark SQL.

 * Build and optimize data processing solutions on AWS.
 * Implement Delta Lake and Lakehouse architecture for enterprise data platforms.
 * Develop and maintain Lakeflow pipelines, Delta Live Tables (DLT), and streaming workflows.
 * Perform Spark performance tuning, troubleshooting, and cost optimization.
 * Work with large-scale datasets and distributed processing frameworks.
 * Implement data quality checks, monitoring, and production support processes.
 * Support CI/CD pipelines and automated deployment of data engineering solutions.
 * Collaborate with cross-functional teams to deliver reliable and scalable data platforms.