Lead Specialist Solutions Architect - Lakebase
Leads technical strategy, value selling, and Databricks adoption for major Retail and CPG enterprise accounts. The role requires extensive enterprise experience, pre-sales expertise, big data and cloud knowledge, production programming skills, and the ability to drive data-driven transformation.
About the job
Responsibilities
- Serve as the main technical voice for 1–5 clients in the Retail and CPG space.
- Partner with the Account Executive to define and direct technical strategy for large enterprise accounts.
- Lead customers through evaluating and adopting Databricks as part of their data and AI strategy.
- Implement account technical strategy and align it around Databricks solutions.
- Build a network of technical champions within customer accounts.
- Apply value selling, technical account management, and technical leadership to drive adoption of ML and AI.
- Provide structured mentorship to other team members.
Requirements
- 8+ years of experience working with very large accounts in the Retail and CPG space.
- 4+ years of experience in pre-sales or supporting sales activity.
- Technical expertise in big data, data science, and cloud technologies.
- Experience driving data-driven business transformation and organizational change.
- 4+ years of design and implementation experience with big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full-lifecycle data science solutions.
- Experience maintaining and extending production data systems for complex customer needs.
- Production programming experience in Python, R, Scala, or Java.
Nice to Have
- Databricks Certification.
Compensation
- Local pay range: $219,100–$301,300 USD.
- Total compensation may include an annual performance bonus, equity, and benefits.
Skills
Big Data, Data Science, Cloud Computing, Hadoop, NoSQL, Mpp, Oltp, Olap, Python, R, Scala, Java, Machine Learning, Artificial Intelligence, Databricks
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