Sr. Databricks Developer

Cloud Analytics Technologies, LLC; Columbus (OH); On-site; USD 110,000 - 170,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks an experienced Senior Databricks Developer to design, develop, and optimize scalable data solutions on Databricks and AWS. The role focuses on Delta Lake, Lakehouse architecture, and high-volume ETL/ELT pipelines using PySpark and Scala Spark, including streaming and MLOps within Databricks.

You will collaborate with data engineering, architecture, and ML teams to deliver enterprise data platforms, applying Data Mesh principles while optimizing for

Qualifications

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

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 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.
• Optimize data processing workloads for performance, scalability, and cost efficiency.
• Monitor and troubleshoot production data pipelines to ensure reliability and data quality.
• Collaborate with data engineering, architecture, and ML teams to deliver enterprise data solutions.

Skills

Databricks

AWS ecosystems

Delta Lake

Lakehouse

PySpark

Scala Spark

Delta Live Tables

MLOps

Data Mesh

Lakeflow

Lakebase

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are seeking an experienced Senior Databricks Developer with strong expertise in Databricks and AWS ecosystems, large-scale data engineering, and modern Lakehouse architecture. The ideal candidate should have hands-on experience building high-volume, production-grade ETL/ELT pipelines, streaming solutions, and scalable data platforms.

Key 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.

Optimize data processing workloads for performance, scalability, and cost efficiency.

Monitor and troubleshoot production data pipelines to ensure reliability and data quality.

Collaborate with data engineering, architecture, and ML teams to deliver enterprise data solutions.

Mandatory Skills

Deep knowledge of Databricks and AWS ecosystems.

Strong experience with Delta Lake and Lakehouse Architecture.

Knowledge of Lakeflow and Lakebase.

Hands-on expertise in PySpark and Scala Spark.

Experience with Streaming and Delta Live Tables (DLT).

MLOps implementation and experience within Databricks.

Knowledge of Data Mesh architecture.

Advanced cost optimization and performance engineering.

Strong experience as a Databricks and AWS Data Engineer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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