Job Role: Databricks Data Engineer / Data Platform Consultant
Location: Remote
Duration: Long Term Project
No C2C only W2 Mandatory Requirement: Databricks Partner Certification (Required Client will not consider resumes without this certification)

Job Summary

We are seeking an experienced Databricks Data Engineer / Data Platform Consultant with a valid Databricks Partner Certification to design, develop, and optimize enterprise-scale data platforms using Databricks Lakehouse technologies. The ideal candidate will have strong expertise in building scalable data pipelines, data engineering best practices, and modern cloud-based analytics solutions.


Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks.
  • Build and optimize Delta Lake and Lakehouse architectures.
  • Develop data ingestion frameworks for structured and unstructured data.
  • Implement data governance, security, and performance optimization strategies.
  • Work closely with data architects, analysts, and business stakeholders.
  • Optimize Spark workloads for scalability and cost efficiency.
  • Integrate Databricks with Azure/AWS cloud services.
  • Support CI/CD, DevOps, and Infrastructure-as-Code implementations.
  • Participate in architecture discussions and technical solution design.

Required Skills:
  • Databricks Partner Certification (Mandatory)
  • Databricks Lakehouse Platform
  • Apache Spark (PySpark/Scala)
  • Delta Lake
  • Python
  • SQL
  • Azure Databricks or AWS Databricks
  • Data Engineering & ETL Development
  • Performance Tuning
  • Data Modeling
  • Git, CI/CD
  • Cloud Storage (ADLS, S3)

Preferred Skills:
  • Unity Catalog
  • Delta Live Tables
  • MLflow
  • Azure Data Factory or AWS Glue
  • Airflow
  • Snowflake

For applications and inquiries, contact:[email protected]

Similar jobs

Lead Data Engineer

Apply Now
Back to search page