Solutions Architect
Pre-sales Solutions Architect partnering with Enterprise Account Executives to define technical strategy for large accounts. Leads data-driven transformation and ML/AI adoption for High Tech and Manufacturing customers using Databricks platform. Requires strong technical background in big data, cloud, and production programming.
About the job
Outcomes
- Work with multiple 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.
- Gain the respect of your peers based on your experience, insight, and contributions.
Competencies
- Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
- Experience working very large (> $1m ARR), global accounts.
- Form relationships with executives and influencers.
- Present a convincing point-of-view to important decision-makers that leads them down a path of success.
- Technical in big data, data science and cloud.
- An ability in data-driven business transformation, and driving change with data.
- Production programming experience in Python, R, Scala or Java.
- Nice to have: Databricks Certification.
Skills
Big Data, Data Science, Cloud, Python, R, Scala, Java, Machine Learning, AI, Databricks
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.