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Databricks/Snowflake Senior Data Architect — Delivery Lead

IBM SINGAPORE PTE LTD

Singapore

On-site

SGD 80,000 - 100,000

Full time

Today
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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
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.
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