Senior Consultant (Snowflake)

cbs APAC; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Job summary

cbs Malaysia, the Malaysian subsidiary of cbs, is seeking a Senior Consultant (Snowflake) to architect and implement data architectures using Snowflake and Databricks, including ETL/ELT and data modeling.

You will lead discovery sessions, optimize performance, and develop robust pipelines with PySpark, SQL, and dbt, leveraging Unity Catalog and Snowpark for governance and extensibility.

Qualifications

• 5+ years of data engineering experience with at least 2 years in a client-facing consulting role.
• Strong communication to translate technical issues into business value.
• Bachelor’s or Master’s degree in a relevant quantitative field.

Responsibilities

• Architect and implement end-to-end data architectures using Snowflake and Databricks.
• Lead discovery sessions and provide migration strategy recommendations.
• Audit environments to improve query performance and cost efficiency.
• Develop data pipelines with PySpark, SQL, and dbt; implement governance with Unity Catalog and Snowpark.
• Mentor junior engineers on CI/CD, data quality, and DevOps practices.

Skills

Snowflake Mastery

Databricks Expertise

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related quantitative field

Tools

PySpark

SQL

dbt

Unity Catalog

Snowpark

Job description

cbs Malaysia is the subsidiary of cbs, a leading international consultancy headquartered in Heidelberg, Germany. We deliver high-end quality consulting and technology services to large industrial corporations that run SAP.

We are currently looking for a Senior Consultant (Snowflake)

Key Responsibilities

• Architect & Implement: Design and deploy end-to-end data architectures using Snowflake and Databricks. This includes data modeling, ingestion (ETL/ELT), and transformation.

• Technical Advisory: Lead discovery sessions to understand customer pain points and provide tailored recommendations on migration strategies.

• Performance Optimization: Audit existing environments to improve query performance, manage compute costs, and ensure efficient scaling.

• Advanced Engineering: Develop robust data pipelines using PySpark, SQL, and dbt. Implement Unity Catalog for governance and Snowpark for extensibility.

• Leadership & Mentorship: Guide junior engineers through best practices in CI/CD, data quality frame working, and DevOps for data.

Required Technical Skills

• Snowflake Mastery: Deep experience with Snowpipe, Streams & Tasks, Zero-Copy Cloning, and Data Sharing.

• Databricks Expertise: Strong command of the Spark engine, Delta Lake, Medallion Architecture (Bronze/Silver/Gold), and MLflow.

Professional Qualifications

• Consulting DNA: 5+ years of experience in data engineering, with at least 2 years in a client-facing consulting role.

• Communication: The ability to translate "technical debt" into "business risk" and "optimized code" into "business value."

• Problem-Solving: A "find a way or make one" attitude when dealing with messy legacy data and ambiguous requirements.

• Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related quantitative field.

Interested in sharing the ONE passion?

Due to high volume of applicants, only shortlisted candidates will be notified.