Senior Data Architect / Databricks / Snowflake

IBM Computing; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A global technology company in Singapore is seeking a Senior Data Architect to lead data platform implementations and engage with clients. The ideal candidate has over 15 years of experience in data architecture, proven consulting skills, and strong expertise in Databricks and Snowflake. Responsibilities include shaping data strategies, mentoring teams, and ensuring high-quality delivery in a collaborative environment. The position offers opportunities to drive AI initiatives and cultivate long-term client relationships.

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.

Responsibilities

• Support sales by shaping solutions, responding to RFPs/RFIs, and presenting demos and architectures.
• Partner with senior client stakeholders to define data strategy.
• Lead end-to-end data platform implementations ensuring scalable delivery.

Skills

Databricks

Snowflake

Cloud (AWS, Azure, GCP)

Data modelling

SQL

ETL/ELT

Data governance

AI/ML knowledge

Job description

Introduction

A career in IBM Consulting is built on long‑term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences.

Your role and responsibilities

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.
• Lead end‑to‑end data platform implementations on Databricks/Snowflake, ensuring scalable and high‑quality delivery.
• Align data architecture with AI/ML initiatives and guide clients on data readiness for AI.
• Mentor and develop data engineering and architecture teams.
• Contribute to internal best practices, reference architectures, and reusable assets.

Required technical and professional expertise

• 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.

Must‑Have Technical Skills

• 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 technical and professional experience

• 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.

Key Attributes

• Excellent communication, client‑facing abilities, and solution articulation.
• Hands‑on, consultative, and able to lead teams and delivery.

IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.