Senior Data Platform & AI Readiness Architect

Software Engineer (Ai Tooling & Enablement) - Greenhouse; New South Wales; On-site; AUD 180,000 - 230,000; Full time

Benefits offered by this job

Health and Wellbeing: Health Insurance

Financial Benefits

Paid Time Off

Job summary

World Wide Technology (WWT) is seeking a Technical Solutions Architect II - Data Engineer to lead data platform initiatives that enable AI impact for customers. The role involves working with AI Studio, Foundry, and Factory offerings and translating technical details into clear business value.

You will partner with account teams across the full sales cycle, shaping data strategies and guiding data architecture while collaborating with Databricks and Snowflake ecosystems.

Qualifications

• 10+ years of experience designing, building, and optimizing scalable data platforms.
• Deep hands-on experience with Snowflake and Databricks in lakehouse architectures.
• Proficiency in SQL and Python and ability to write production-quality code.

Responsibilities

• Lead pre-sales enterprise engagements: workshops, discovery sessions, architecture reviews, executive briefings.
• Drive opportunities across AI Studio, AI Foundry, and AI Factory with focus on data strategy and AI-ready data architecture.
• Translate complex tech concepts into business outcomes for executives.

Skills

Snowflake

Databricks

SQL

Python

Data engineering

Cloud data platforms

Governance

AI workloads

Education

Bachelor's degree in CS/Data engineering or related field

Tools

Snowflake Cortex

Lakeflow

Delta Lake

Unity Catalog

Job description

World Wide Technology (WWT) is seeking a Technical Solutions Architect II - Data Engineer to lead data platform initiatives that enable AI impact for customers. The role involves working with AI Studio, Foundry, and Factory offerings and translating technical details into clear business value.

You will partner with account teams across the full sales cycle, shaping data strategies and guiding data architecture while collaborating with Databricks and Snowflake ecosystems.