Solutions Architect, Retail
Pre-sales Solutions Architect partnering with Account Executives to define technical strategy for large Retail, Travel & Hospitality accounts. Leads data-driven transformation and ML/AI adoption of Databricks platform, building technical champions while providing mentorship.
About the job
Impact You Will Have
- Work with up to 9 clients as the main technical voice for Databricks
- Lead customers on a transformational journey, helping them evaluate and adopt Databricks as part of their strategy
- Implement the technical strategy in the account
- Build a movement of technical champions within the account
- Align technical strategies around Databricks solutions
- Provide structured mentorship for other team members
Requirements
- 5+ years of experience working very large (> $1m ARR) accounts from the Retail and CPG related space
- 3+ years working in a pre-sales capacity or supporting sales activity
- Technical background in big data, data science and cloud
- Ability in data-driven business transformation, and driving change with data
- 3+ years of experience with design and implementation in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
- Experience maintaining and extending production data systems to evolve with complex customer needs
- Production programming experience in Python, R, Scala or Java
Nice-to-Haves
- Databricks Certification
Skills
Big Data, Data Science, Cloud, Hadoop, NoSQL, Mpp, Oltp, Olap, Python, R, Scala, Java, Machine Learning, AI
Similar jobs
Solutions Architecture jobsLeads technical engagements, deployments, and integrations for federal customers, partnering across product, engineering, and business development. Requires networking expertise, deployment automation, defense or telecommunications experience, active TS/SCI clearance, and substantial travel.
Founding US Solutions Engineer owning technical customer relationships across pre-sales and post-sales, from discovery and architecture design through implementation and go-live. Requires 4+ years in technical customer-facing B2B SaaS roles, hands-on API experience, and strong stakeholder communication.
Leads technical strategy, demonstrations, proofs of concept, and enterprise adoption of Databricks data and AI solutions. The role requires pre-sales leadership, experience with large global accounts, data technologies, production programming, and executive stakeholder engagement.
Build and deploy AI-powered applications and enterprise integrations alongside strategic customers, owning solutions from architecture through production. The role requires 5+ years of software engineering experience, production LLM expertise, and strong customer-facing technical communication.
Build and deploy production AI agents and integrations directly with customers, translating ambiguous workflows into reliable technical systems. The role requires strong software engineering, API and data-system fluency, customer collaboration, and willingness to work in person and travel.