Senior Data Platform Architect for AI & Data Engineering

World Wide Technology, Inc.

Sydney

On-site

AUD 180,000 - 240,000

Full time

5 days ago
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Benefits offered by this job

Health and Wellbeing
Profit Sharing
Tuition Reimbursement

Job summary

World Wide Technology seeks a Technical Solutions Architect II focused on data engineering to drive AI-ready data platforms. You will lead data strategy, design scalable lakehouse architectures, and translate complex technology into business value for customers.

This role collaborates with AI Studio, Foundry and Factory teams and partners on deployment paths. Preferred candidates bring 10+ years in data platforms, strong Snowflake/Databricks skills, and experience in enterprise pre-sales or

Qualifications

  • 10+ years in designing and optimising scalable data platforms.
  • Strong Snowflake and Databricks hands-on experience.
  • Experience in pre-sales, consulting, or technical advisory in enterprise tech.

Responsibilities

  • Lead pre-sales engagements: workshops, discovery, architecture reviews, executive briefings for AI data readiness.
  • Advance opportunities across AI Studio, Foundry and Factory with focus on data strategy and AI-ready data architecture.
  • Translate technical concepts to business outcomes for executives.
  • Author technical content and contribute to internal enablement.
  • Collaborate with partner ecosystems to validate approaches and enable field teams.

Skills

SQL
Python
Data engineering
Architecture thinking
Communication

Education

Bachelor's degree in computer science, data engineering, or related field

Tools

Snowflake
Databricks
Cloud platforms (Azure/AWS/GCP)

Job description

World Wide Technology seeks a Technical Solutions Architect II focused on data engineering to drive AI-ready data platforms. You will lead data strategy, design scalable lakehouse architectures, and translate complex technology into business value for customers.

This role collaborates with AI Studio, Foundry and Factory teams and partners on deployment paths. Preferred candidates bring 10+ years in data platforms, strong Snowflake/Databricks skills, and experience in enterprise pre-sales or

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