Senior Databricks Engineer: Lakehouse & MLOps on AWS

MACHINE LEARNING TECHNOLOGIES LLC

Columbus (OH)

On-site

USD 140,000 - 180,000

Full time

43 hours ago
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Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Columbus, OH seeks a Senior Databricks Developer to design and implement high-volume data pipelines on Databricks and AWS. You will build Delta Lake Lakehouse architectures, streaming solutions, and scalable ETL/ELT processes using PySpark and Scala Spark.

The role emphasizes real-time processing, MLOps within Databricks, and Data Mesh principles to optimize performance, cost, and reliability across enterprise data platforms.

Qualifications

  • Deep knowledge of Databricks and AWS ecosystems.
  • Strong experience with Delta Lake and Lakehouse Architecture.
  • Hands-on PySpark and Scala Spark experience.
  • Experience with Streaming and Delta Live Tables (DLT).
  • MLOps implementation within 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-volume 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.

Skills

Databricks & AWS
Delta Lake
Lakehouse Architecture
PySpark
Scala Spark
DLT (Delta Live Tables)
MLOps in Databricks
Data Mesh
Cost optimization
Production-grade ETL/ELT

Tools

Lakeflow
Lakebase

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Columbus, OH seeks a Senior Databricks Developer to design and implement high-volume data pipelines on Databricks and AWS. You will build Delta Lake Lakehouse architectures, streaming solutions, and scalable ETL/ELT processes using PySpark and Scala Spark.

The role emphasizes real-time processing, MLOps within Databricks, and Data Mesh principles to optimize performance, cost, and reliability across enterprise data platforms.

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