‎ Softenger Malaysia Hiring! Full Time Snowflake Data Architect in Federal Territory - Ricebowl

About the Role:

Designs and builds the target data platform on Snowflake (or SAP Datasphere) and ensures migrated pipelines and data models are robust, scalable and well governed.

Deep Snowflake expertise is core; SAP BW knowledge can be developed on the job.

What You'll Do:

Design the target data model, ingestion patterns and transformation layer on Snowflake / Datasphere.

Build and review ELT/ETL pipelines and transformations, applying agreed coding and naming standards.

Contribute to source-to-target mapping reviews and translate business rules into working code.

Define the security and access-control model (RBAC, data masking).

Support historical data migration design and cutover planning.

Conduct code reviews and mentor junior engineers.

Engage in technical design workshops with the client's architecture team.

What We're Looking For:

5–8 years in data engineering or data architecture. Solid Snowflake experience: data modelling, SQL, virtual warehouses, basic security features.

Hands-on with Python or SQL-based ELT and a pipeline orchestration tool (Airflow, dbt, ADF or similar).

Comfortable on at least one cloud platform (AWS, Azure or GCP).

Able to read and understand data specifications and translate them into working solutions.