Sr. Solutions Architect, Retail
The Role
We are seeking an experienced pre-sales professional with a strong history of helping large enterprises adopt data-driven solutions. This role involves defining and directing the technical strategy for our largest and most important accounts, focusing on the retail and consumer packaged goods (CPG) sectors.
Responsibilities
- Work with Account Executives to define and direct the technical strategy for key accounts
- Lead customers through a transformational journey, integrating Databricks into their strategic plans
- Implement the technical strategy in collaboration with cross-functional teams
- Build a network of technical champions within the customer organization
- Align technical strategies around Databricks solutions
- Mentor other team members in technical skills and best practices
Requirements
- 8+ years of experience in large (> $1m ARR) retail and CPG-related enterprises
- 5+ years of pre-sales or sales support experience
- Technical expertise in big data, data science, and cloud technologies
- Experience in data-driven business transformation and driving change with data
- 3+ years of experience with design and implementation of big data technologies like Hadoop, NoSQL, MPP, OLTP, and OLAP
- Experience maintaining and evolving production data systems to meet complex customer needs
- Programming experience in Python, R, Scala, or Java
- Nice to have: Databricks certification
Pay
The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors including job-related skills, depth of experience, relevant certifications and training, and specific work location. Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonuses, equity, and the benefits listed above.
About Databricks
Databricks is the data and AI company. Our platform unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide, including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500. We are headquartered in San Francisco, with offices globally, and were founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. Learn more about us on Twitter, LinkedIn, and Facebook.
Benefits
At Databricks, we offer comprehensive benefits and perks designed to meet the needs of all our employees. For specific details on the benefits offered in your region, please visit our benefits page.
Equal Opportunity Employer
We are committed to fostering a diverse and inclusive workplace where everyone can thrive. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. If you have any questions about our commitment to diversity and inclusion, please contact us.