Solutions Architect, Strategic Retail - Central

FEQ227R273

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Strategic Retail SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target strategic accounts in the Retail space. 

• 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 in within the account(s) to influence key technical decisions shaping the industry
• You will 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.

• 8+ years of customer facing technical experience working in very large (> $3M-5M++ ARR) 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