CareerPlanGet AI match score →

Solutions Architect, Strategic Retail - Central

San Francisco, California💼 Full-time💰 $180,000–$180,000🗓 2026-05-15 → 2026-07-31

Core

Pre-sales Solutions Architect defining technical strategy for large retail enterprises to drive adoption of Databricks' Data Intelligence Platform and ML/AI solutions.

Role type

Senior pre-sales Solutions Architect (Strategic Retail)

Builds

Databricks Data Intelligence Platform solutions for large retail accounts

Domain

Retail industry, Big Data, Cloud, Machine Learning & AI

Deliverable

production ML models | product features

Required skills

Pre-sales technical expertise, Account management, Data architecture design, Cloud platform expertise, Big data technologies (Hadoop, NoSQL, MPP, OLTP, OLAP), Data science lifecycle, Programming (Python, Java, Scala), Spark knowledge, Solution architecture for complex needs

Preferred skills

Databricks Certification

Technologies

Databricks Data Intelligence Platform, Apache Spark, Delta Lake, MLflow, Hadoop, NoSQL, MPP, OLTP, OLAP, Python, Java, Scala, Public Cloud

Responsibilities

Develop and implement account technical strategies with Account Executives, Build technical champions within accounts, Influence stakeholders across the cloud ecosystem, Act as trusted advisor for data analytics architecture, Lead customer-facing workshops and seminars

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities - Develop and implement account technical strategies in partnership with Account Executive(s) in your designated strategic account(s), aligned to account growth goals. - Build technical champions within the account(s) to influence key technical decisions shaping the industry. - Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. - Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. - Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. - Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. ## Requirements - 8+ years of customer facing technical experience working in very large (> $3M-5M++) customers, preferably in pre-sales capacity - Deep Technical expertise in key areas such as big data, data science, data engineering, data-warehousing, and cloud technologies - An ability in data-driven business transformation and driving change with data, through AI-first and Builder mindset approach - 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions - Hands-on expertise with complex proofs-of-concept and public cloud platform(s) - Experience in a core programming language (i.e., Python, Java, Scala) and willingness to learn Spark - Know how to architect complex technical solutions for specialized customer needs and navigate a competitive landscape. - Can travel up to 30% when needed ## Nice to Have - Databricks Certification ## Benefits - Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. - Travel up to 30% when needed.
Sourced via greenhouse · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Greenhouse ↗