Solutions Architect, Retail - Travel & Hospitality
The Role
We are seeking experienced pre-sales professionals with a proven track record in helping large enterprises become more data-driven. This role involves working closely with Account Executives to define and direct the technical strategy for key accounts, focusing on the Retail, Travel & Hospitality, and Consumer Packaged Goods (CPG) sectors. The goal is to maximize the use of Databricks' products and foster broader adoption of machine learning and artificial intelligence (ML & AI).
Responsibilities
- Work with 1-5 clients as the primary technical voice for Databricks
- Lead customers through a transformative journey, integrating Databricks into their strategic plans
- Implement the technical strategy within the account, aligning with broader business goals
- Build a network of technical advocates within the client organization
- Align technical strategies with Databricks solutions
- Mentor other team members in technical skills and best practices
Requirements
- 5+ years of experience in large (> $1m ARR) retail and CPG-related enterprises
- 3+ years of pre-sales experience or supporting sales activities
- 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 designing and implementing big data technologies like Hadoop, NoSQL, MPP, OLTP, OLAP, or full lifecycle data science solutions
- Experience maintaining and evolving production data systems to meet complex customer needs
- Programming experience in Python, R, Scala, or Java for production environments
Qualifications
- Databricks Certification (Nice to Have)
Benefits
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family planning support
- Gym reimbursement
- Annual personal development fund
- Employee Assistance Program (EAP)
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 unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Databricks anticipates utilizing the full width of the range.
About Databricks
Databricks is the data and AI company, empowering over 10,000 organizations worldwide, including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500, to unify and democratize data, analytics, and AI. Headquartered in San Francisco, Databricks has offices globally and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. Learn more about Databricks on Twitter, LinkedIn, and Facebook.
Benefits
At Databricks, we offer a wide array of benefits to support our employees' well-being and career growth. For more information on the benefits available in your region, please visit our benefits page.
Equal Employment Opportunity
Databricks is committed to fostering a diverse and inclusive workplace where every employee can thrive. We strive to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. If you are interested in employment at Databricks, you are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or any other protected characteristic.