Senior Data Architect / Databricks / Snowflake

IBM SINGAPORE PTE LTD; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading technology firm in Singapore is seeking a Senior Data Architect to support solution architecture and data strategy. This role requires deep expertise in Databricks and/or Snowflake, with primary responsibilities in sales support and project delivery. Ideal candidates will have over 15 years in data architecture, proven consulting experience, and the ability to mentor teams. The position emphasizes client engagement and premiere leadership in data platform implementations.

Qualifications

• 15+ years in data architecture or data engineering.
• Proven consulting/services experience and ability to influence senior client stakeholders.
• Strong pre‑sales experience including solution creation and RFP responses.
• Hands‑on leadership of large data platform implementations.
• Deep expertise in Databricks and/or Snowflake.

Responsibilities

• Support sales by shaping solutions, responding to RFPs/RFIs, and presenting demos and architectures.
• Partner with senior client stakeholders to define data strategy, platform design, and technology direction.
• End‑to‑end data platform implementations on Databricks/Snowflake.
• Mentor and develop data engineering and architecture teams.
• Contribute to internal best practices, reference architectures, and reusable assets.

Skills

Databricks

Snowflake

Data modelling

Spark

SQL

ETL/ELT

Data governance

AI/ML requirements

Tools

AWS

Azure

GCP

Job description

We are seeking a Senior Data Architect with deep hands‑on expertise in Databricks and/or Snowflake to support both pre‑sales and delivery within our services organization. This role combines solution architecture, client engagement, delivery leadership, and AI‑focused data strategy. Expected time split: 40% sales support, 60% delivery.

Key Responsibilities

• Support sales by shaping solutions, responding to RFPs/RFIs, and presenting demos and architectures.
• Partner with senior client stakeholders to define data strategy, platform design, and technology direction.
• end‑to‑end data platform implementations on Databricks/Snowflake, ensuring scalable and high‑quality delivery.
• Mentor and develop data engineering and architecture teams.
• Contribute to internal best practices, reference architectures, and reusable assets.

The Pre‑requisites

• 15+ years in data architecture or data engineering.
• Proven consulting/services experience and ability to influence senior client stakeholders.Strong pre‑sales experience including solution creation and RFP responses.
• Hands‑on leadership of large data platform implementations.
• Deep expertise in Databricks and/or Snowflake.
• Strong cloud knowledge (AWS, Azure, or GCP).
• Data modelling, Spark, SQL, ETL/ELT, and orchestration tools.
• Understanding of data governance, security, and modern data platform design.
• Knowledge of AI/ML requirements and how data platforms enable them.

Preferred Skills

• Experience with lakehouse architectures, MLflow, Delta Lake, Snowpark, Snowpipe, or similar.
• Knowledge of MLOps, data observability, DevOps/CI-CD, and BI tools.
• Cloud or platform certifications.
• Excellent communication, client‑facing abilities, and solution articulation.
• Hands‑on, consultative, and able to lead teams and delivery.