Technical Solutions Architect II – Data Engineer

Role Overview

The AI & Data Solutions team operates as a pre-sales advisory practice within WWT’s GS&A organization, helping organizations move from AI interest to AI impact. This role is grounded in data engineering, with ideal candidates bringing deep hands-on data platform expertise into customer conversations and translating that technical depth into business clarity and confident decision-making.

What You Will Do

Responsibilities include pre-sales engagement, opportunity support, business translation, thought leadership, and partner ecosystem engagement.

Why It Might Be a Fit

The ideal candidate will have 10+ years of experience designing, building, and optimizing scalable data platforms, with strength in Snowflake, Databricks, and modern Lakehouse architecture.

Requirements

• 10+ years of experience designing, building, and optimizing scalable data platforms
• Deep hands-on experience with modern cloud data platforms, particularly Snowflake and Databricks
• Strong data engineering fundamentals: ETL/ELT pipeline design and implementation, data orchestration and workflow automation, batch and streaming processing, and data modeling for analytical and operational workloads
• Proficiency in SQL and Python sufficient to write, debug, and review production-quality code independently
• Working fluency in lakehouse and data platform architecture
• Governance fluency: able to represent data quality, security, and trust topics credibly in customer conversations
• Practical understanding of how AI workloads — LLMs, RAG, agentic AI — consume enterprise data
• Experience integrating and using AI coding assistants and agent tools with cloud data platforms
• Experience implementing Databricks and Snowflake solutions on Azure, AWS, or Google Cloud
• Advisory mindset and the ability to lead customers through ambiguous technical challenges
• Experience supporting a services sales motion in a non-quota-carrying, technical advisory capacity
• Strong communication skills across audiences

Benefits

• Combined Health Insurance
• Employee Assistance Program
• Wellness program
• Competitive pay
• Profit Sharing
• Life and Disability Insurance
• Tuition Reimbursement
• PTO & Holidays
• Parental Leave
• Sick Leave
• Bereavement