Sr. Solutions Architect - Retail, Travel & Hospitality

Cacheflow; Charlotte (NC); On-site; USD 219,000 - 301,000; Full time

Benefits offered by this job

Databricks Certification

Job summary

Databricks is seeking an experienced pre-sales professional to drive technical strategy for large Retail and CPG accounts. You will collaborate with Account Executives and a hands-on team to demonstrate ML/AI capabilities and guide customers through a data-driven transformation.

You will advocate for Databricks solutions, mentor peers, and help evolve production data systems to meet complex customer needs in a high-impact role across strategic accounts.

Qualifications

• 8+ years of experience in very large Retail/CPG accounts (> $1m ARR).
• 4+ years in pre-sales or supporting sales activity.
• Technical in big data, data science and cloud.
• 4+ years design/implementation in big data tech (Hadoop, NoSQL, MPP, OLTP/OLAP).
• Production programming in Python, R, Scala or Java.

Responsibilities

• Be the main technical voice for 1-5 clients.
• Lead customers on a transformational journey to adopt Databricks solutions.
• Implement the technical strategy in the account.
• Build a movement of technical champions within the account.
• Align technical strategies around Databricks solutions.
• Mentor other team members.

Skills

Data-driven transformation

Big data, data science & cloud

Pre-sales experience

Technical leadership

Production programming: Python/R/Scala

Stakeholder management

Tools

Hadoop

NoSQL

MPP

OLTP

OLAP

Job description

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 who have a successful track record 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 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, in 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 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

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.

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 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.