Role at a glance
- Salary
- $219.1K – $301.3K/yr
- Location
- Chicago, Illinois, United States Atlanta, Georgia, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Retail and CPG Senior Solutions Architect is a pre-sales technical leader who partners with Account Executives to define and direct technical strategies for major enterprise accounts. The role helps customers evaluate and adopt Databricks, expand use of its products, and advance ML and AI initiatives.
What You'll Do
- Serve as the main technical voice for 1-5 clients
- Lead customers through evaluating and adopting Databricks as part of their strategy
- Implement the technical strategy within customer accounts
- Build a movement of technical champions within accounts
- Align technical strategies around Databricks solutions
- Provide structured mentorship to other team members
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
8+ years working with very large Retail and CPG-related enterprises; 4+ years in pre-sales or supporting sales activity; technical experience in big data, data science, and cloud; experience in data-driven business transformation and driving change with data; 4+ years designing and implementing big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions; experience maintaining and extending production data systems; production programming experience in Python, R, Scala, or Java.
Required
- Experience working with very large Retail and CPG-related enterprises
- Pre-sales or sales-support experience
- Technical experience in big data, data science, and cloud
- Experience in data-driven business transformation and driving change with data
- Design and implementation experience with big data technologies or full lifecycle data science solutions
- Experience maintaining and extending production data systems
- Production programming experience in Python, R, Scala, or Java
Preferred
- Databricks Certification
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P-256
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 Retail and CPG Sr. 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 accounts in the Retail and CPG space.
The impact you will have:
- You will work with 1-5 clients as the main technical voice for Databricks
- You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
- You will implement the technical strategy in the account, with a close understanding of the strategy
- Build a movement of technical champions within the account
- Align technical strategies around Databricks solutions
- You will provide structured mentorship for other team members
What we look for:
- 8+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space
- 4+ years working in a pre-sales capacity or supporting sales activity
- Technical in big data, data science, and cloud
- An ability in data-driven business transformation and driving change with data
- 4+ 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
- Maintain and extend production data systems to evolve with complex customer needs
- Production programming experience in Python, R, Scala, or Java
- Nice to have: Databricks Certification
LI #Remote
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) 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 that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks 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, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.