Job Search and Career Advice Platform

Enable job alerts via email!

Databricks ML Lead: Senior Data Architect & MLOps

AVANADE ASIA PTE LTD

Kuala Lumpur

On-site

MYR 120,000 - 180,000

Full time

Yesterday
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading technology consultancy based in Kuala Lumpur is seeking a Databricks M/L Technical Lead. This senior role involves designing, developing, and delivering scalable data solutions on the Databricks Lakehouse Platform. Candidates should have a strong background in Python and PySpark/Scala, with at least 8 years of experience in machine learning and specific expertise in Databricks. The role emphasizes performance optimization and defining coding standards within a team environment.

Qualifications

  • 8+ years of experience in machine learning, data science, or MLOps.
  • 4+ years of experience on the Databricks Lakehouse Platform.
  • Expert proficiency in Python and PySpark/Scala.
  • Deep understanding of Delta Lake architecture.

Responsibilities

  • Define and implement robust data architectures using Databricks.
  • Write high‑quality code in PySpark/Scala and SQL for ETL/ELT pipelines.
  • Lead performance tuning for large‑scale Spark jobs.
  • Define and enforce technical standards and best practices.

Skills

Machine learning
Data science
MLOps
Python
PySpark
Scala

Tools

Databricks Lakehouse Platform
MLflow
Delta Lake
Terraform
Kafka
Job description
A leading technology consultancy based in Kuala Lumpur is seeking a Databricks M/L Technical Lead. This senior role involves designing, developing, and delivering scalable data solutions on the Databricks Lakehouse Platform. Candidates should have a strong background in Python and PySpark/Scala, with at least 8 years of experience in machine learning and specific expertise in Databricks. The role emphasizes performance optimization and defining coding standards within a team environment.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.