Senior Data Solutions Architect — Pre-Sales (AI/Data)

World Wide Technology, Inc.

Sydney

Hybrid

AUD 180,000 - 240,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Profit sharing
Tuition reimbursement
Life and disability insurance

Job summary

World Wide Technology seeks a Technical Solutions Architect (Data Engineer) to lead data platform conversations with enterprise clients. You will design scalable data foundations, leverage Snowflake and Databricks, and translate tech details into business outcomes for executives.

The role emphasizes pre-sales leadership, data governance, and AI-ready architectures across cloud environments. You will partner with account teams to shape services engagements and deliver tangible AI value.

Qualifications

  • 10+ years of experience designing, building, and optimizing scalable data platforms.
  • Experience with Snowflake, Databricks, and modern Lakehouse architectures.
  • Pre-sales, consulting or technical advisory experience in enterprise tech is preferred.

Responsibilities

  • Lead pre-sales engagements with enterprise customers, including workshops and architecture reviews.
  • Translate complex technical concepts into business outcomes for executives.
  • Develop data strategy and AI-ready data architectures across the AI Studio, Foundry and Factory offerings.
  • Collaborate with partners like Databricks and Snowflake to validate approaches.
  • Guide customers through data foundation to AI value pathways.

Skills

Data engineering
Snowflake
Databricks
SQL
Python
Cloud platforms
Pre-sales

Education

Bachelor’s degree in computer science/data engineering

Tools

Snowflake
Databricks
Airflow
dbt

Job description

World Wide Technology seeks a Technical Solutions Architect (Data Engineer) to lead data platform conversations with enterprise clients. You will design scalable data foundations, leverage Snowflake and Databricks, and translate tech details into business outcomes for executives.

The role emphasizes pre-sales leadership, data governance, and AI-ready architectures across cloud environments. You will partner with account teams to shape services engagements and deliver tangible AI value.

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