Solutions Architect - Retail
Join Databricks as a Solutions Architect to lead technical strategies for major retail clients and drive data-driven transformations.
AI in the day-to-day
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Requirements
- Experience
- 5+ years
Joblaze summary
In the role of Solutions Architect for Retail at Databricks, the individual will engage with major clients to define and implement technical strategies that enhance data-driven decision-making and promote the adoption of machine learning and AI solutions. Candidates should possess a strong technical background in big data technologies and programming languages such as Python or Scala, along with experience in pre-sales and account management. This position is ideal for seasoned professionals with a proven track record in transforming large enterprises within the retail and consumer packaged goods sectors.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 860 other open roles including Staff Designated Support Engineer, Senior Designated Support Engineer, Senior Forward Deployed Engineer.
- 2641 active Python roles on Joblaze right now.
- 838 active Java roles on Joblaze right now.
- 382 active Scala roles on Joblaze right now.
- Salary band is above the typical range for Sales/Marketing roles (median ~$148,500).
- Pays more than 64% of the 1568 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Solutions Architect - Retail role remote?
- It's hybrid — Databricks expects some on-site time in Chicago, Illinois; Phoenix, Arizona.
- What's the salary range?
- Databricks lists $180,000–$247,500 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Solutions Architect - Retail role.
- Where is the role based?
- Databricks is hiring for this position in Chicago, Illinois; Phoenix, Arizona.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Hadoop, Java, MPP, NoSQL, OLAP, OLTP.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Solutions Architect - Retail role at Databricks.
From the original posting
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 Travel & Hospitality within Retail 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 up to 9 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:
- 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space
- 3+ 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
- 3+ 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.
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.
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