Senior Data Platform Architect for AI Readiness (Pre-Sales)

World Wide Technology; Maryland Heights (MO); On-site; USD 150,000 - 180,000; Full time

Benefits offered by this job

Health and Wellbeing benefits

401k with company match

Paid time off

Job summary

World Wide Technology (WWT) is seeking an experienced data engineering and AI advisory leader to join its AI & Data Solutions team. You will partner with account teams across the full sales cycle to translate data concepts into practical AI-ready strategies and drive value from data foundations to AI outcomes.

The role emphasizes Snowflake and Databricks expertise, SQL and Python fluency, governance and data platform migrations, and advisory communication with executives.

Qualifications

• 10+ years of experience designing, building, and optimizing scalable data platforms.
• Deep hands-on experience with Snowflake and Databricks in enterprise settings.
• Strong data engineering fundamentals: ETL/ELT, orchestration, batch/streaming, and data modeling for analytics.

Responsibilities

• Lead pre-sales engagements focusing on data readiness for AI and value realization.
• Advance opportunities across AI Studio, AI Foundry, and AI Factory with data strategy emphasis.
• Translate complex tech to business outcomes for executive stakeholders.
• Contribute technical content and enablement materials (whitepapers, workshops).
• Engage with partner ecosystems (Databricks, Snowflake) to validate approaches.

Skills

Snowflake

Databricks

SQL

Python

Lakehouse

ETL/ELT

Data Modeling

Governance

AI Workloads

Cloud Platforms

Education

Bachelor’s degree in computer science/data engineering

Tools

Snowpark

Delta Lake

Unity Catalog

Snowflake Cortex

Databricks Lakeflow

Job description

World Wide Technology (WWT) is seeking an experienced data engineering and AI advisory leader to join its AI & Data Solutions team. You will partner with account teams across the full sales cycle to translate data concepts into practical AI-ready strategies and drive value from data foundations to AI outcomes.

The role emphasizes Snowflake and Databricks expertise, SQL and Python fluency, governance and data platform migrations, and advisory communication with executives.