Senior Databricks Engineer: Lakehouse & Streaming

Ethereum Technologies

Columbus (OH)

On-site

USD 140,000 - 180,000

Full time

17 hours ago
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Job summary

Ethereum Technologies seeks an experienced Senior Databricks Developer to design and scale data platforms on AWS. You will implement Lakehouse architectures, Delta Lake, and real-time pipelines using Delta Live Tables, while embedding MLOps practices across projects.

The role emphasizes large-scale data engineering, cost-aware optimization, and collaboration with architecture and ML teams to deliver enterprise-grade data solutions on a Lakehouse platform.

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-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
Delta Live Tables
MLOps
Data Mesh
Cost Optimization

Tools

Lakeflow
Lakebase
Databricks
Delta Live Tables

Job description

Ethereum Technologies seeks an experienced Senior Databricks Developer to design and scale data platforms on AWS. You will implement Lakehouse architectures, Delta Lake, and real-time pipelines using Delta Live Tables, while embedding MLOps practices across projects.

The role emphasizes large-scale data engineering, cost-aware optimization, and collaboration with architecture and ML teams to deliver enterprise-grade data solutions on a Lakehouse platform.

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