Sr. Solutions Architect - Retail, Travel & Hospitality

Menlo Ventures; California (MO); On-site; USD 219,100 - 301,300; Full time

Job summary

Databricks is seeking an experienced Retail and CPG Senior Pre-Sales professional to define and direct the technical strategy for large enterprise accounts. You will collaborate with the AE, lead ML/AI adoption, and leverage your value-selling and technical leadership to maximize success across targeted use cases in Retail and CPG.

You will serve as the main technical voice for 1–5 clients, guiding transformational journeys, aligning Databricks solutions with business goals, and mentoring

Qualifications

• 8+ years of experience in large Retail/CPG accounts (> $1m ARR).
• 4+ years in pre-sales or supporting sales activities.
• Strong technical background in big data, data science, and cloud.
• Experience with data-driven business transformation.
• 4+ years design/implementation in Hadoop, NoSQL, MPP, OLTP/OLAP or full data science lifecycle.
• Production programming in Python, R, Scala, or Java.
• Databricks Certification is a plus.

Responsibilities

• You will work with 1-5 clients as the main technical voice for Databricks.
• You will lead customers on a transformational journey, helping them 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.

Skills

Pre-sales experience

Enterprise retail/CPG experience

Big data

Data science

Cloud

Python

R

Scala

Java

NoSQL

Hadoop

MPP

OLTP/OLAP

Databricks Certification

Tools

Hadoop

NoSQL

MPP

OLTP

OLAP

Job description

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.

Local Pay Range

$219,100 - $301,300 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

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.