AI Data Solutions Architect - Pre-Sales & Data Eng

World-Wide-Technology; Sydney; On-site; AUD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Profit sharing

Life and disability insurance

Tuition reimbursement

Job summary

World Wide Technology (WWT) is seeking a Technical Solutions Architect II - Data Engineer to lead data readiness efforts for AI initiatives. You will work with account teams across a full sales cycle, translating complex data architectures into tangible business value and opportunities for AI-enabled data platforms.

The role requires deep hands-on experience with Snowflake and Databricks, strong SQL/Python skills, and a proven ability to communicate across technical and executive audiences.

Qualifications

• Bachelor’s degree in computer science, data engineering, or a related field.
• Deep hands‑on data platform expertise across Snowflake and Databricks, plus modern lakehouse practices.
• Strong communication skills to translate technical concepts for business stakeholders.

Responsibilities

• Independently lead pre‑sales engagements, workshops, and architecture reviews focused on data readiness for AI.
• Advance opportunities across AI Studio, Foundry, and Factory offerings with data strategy emphasis.
• Translate complex concepts into business outcomes for executives.
• Author technical content and contribute to internal enablement.
• Engage with partner ecosystems to develop insights and support field enablement.

Skills

Snowflake

Databricks

Python

SQL

Lakehouse

Data modeling

Data orchestration

ETL/ELT

Data governance

Cloud data platforms

Education

Bachelor’s degree in computer science or data engineering

Tools

Snowpark

Delta Lake

Unity Catalog

Lakeflow

dbt

Apache Airflow

Azure Data Factory

Kafka

Job description

World Wide Technology (WWT) is seeking a Technical Solutions Architect II - Data Engineer to lead data readiness efforts for AI initiatives. You will work with account teams across a full sales cycle, translating complex data architectures into tangible business value and opportunities for AI-enabled data platforms.

The role requires deep hands-on experience with Snowflake and Databricks, strong SQL/Python skills, and a proven ability to communicate across technical and executive audiences.