Solutions Architect, Strategic Retail - Central
Databricks · United States
- Hybrid
- Full-time
- $247,500 / year
- United States
Job highlights
- Define technical strategy for major enterprise accounts.
- Drive adoption of ML and AI solutions.
- Build technical champions and influence decisions.
- Act as trusted advisor for data analytics architecture.
- Opportunity for career development in multiple tracks.
About the role
Solutions Architect, Strategic Retail - Central
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 with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Strategic Retail 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 strategic accounts in the Retail space. The Hiring Manager is Pardeep Kumar.
The Impact You Will Have
- Develop and implement account technical strategies in partnership with Account Executive(s) in your designated strategic account(s), aligned to account growth goals.
- Build technical champions within the account(s) to influence key technical decisions shaping the industry.
- Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
- Operate as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
- Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
- Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
What We Look For
- 8+ years of customer-facing technical experience working in very large (> $3M-5M++ ARR) customers, preferably in pre-sales capacity.
- Deep Technical expertise in key areas such as big data, data science, data engineering, data-warehousing, and cloud technologies.
- An ability in data-driven business transformation and driving change with data, through AI-first and Builder mindset approach.
- 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.
- Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
- Experience in a core programming language (i.e., Python, Java, Scala) and willingness to learn Spark.
- Know how to architect complex technical solutions for specialized customer needs and navigate a competitive landscape.
- Can travel up to 30% when needed.
- 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.
Zone 3 Pay Range: $180,000—$247,500 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.
Key skills/competency
- Solutions Architect
- Strategic Retail
- Data-Driven Enterprises
- ML & AI Adoption
- Value Selling
- Technical Account Management
- Data Analytics Architecture
- Cloud Technologies
Skills & topics
- Solutions Architect
- Strategic Retail
- Databricks
- Pre-sales
- Data Intelligence Platform
- ML
- AI
- Big Data
- Cloud Technologies
- Data Science
- Data Engineering
- Value Selling
- Technical Account Management
- Customer Facing
- Retail Industry
How to get hired
- Tailor your resume: Highlight 8+ years in pre-sales, big data, data science, and cloud technologies, aligning with Databricks' needs.
- Showcase retail expertise: Emphasize experience with data-driven business transformation in the retail sector.
- Demonstrate technical skills: Detail your proficiency in core programming languages and big data technologies like Hadoop or Spark.
- Prepare for value selling: Articulate how you've driven significant ARR growth for large enterprise clients.
- Research Databricks: Understand their Data Intelligence Platform and AI-first approach to impress in interviews.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities of a Solutions Architect, Strategic Retail at Databricks?
- As a Solutions Architect, Strategic Retail at Databricks, you will define and direct the technical strategy for major enterprise accounts, focusing on driving the adoption of ML and AI solutions. You'll build technical champions, influence stakeholders, and act as a trusted advisor for data analytics architecture. Career development opportunities are available across technical specialization, industry thought leadership, strategic vision, and people management.
- What technical expertise is required for the Solutions Architect, Strategic Retail role at Databricks?
- The role requires 8+ years of customer-facing technical experience, particularly in pre-sales for large enterprise clients. Essential expertise includes big data, data science, data engineering, data warehousing, and cloud technologies. Experience with big data technologies like Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions, is crucial. Proficiency in a core programming language like Python, Java, or Scala, and a willingness to learn Spark, is also necessary.
- How does Databricks support career growth for Solutions Architects?
- Databricks offers a clear path for career development, allowing Solutions Architects to grow in one of four tracks: technical specialization, industry vertical thought leadership, strategic customer vision, and people management. This ensures continuous learning and advancement opportunities within the company.
- What is the compensation and benefits package for a Solutions Architect, Strategic Retail at Databricks?
- The pay range for this role in Zone 3 is $180,000—$247,500 USD. Databricks also offers a comprehensive benefits package, which may include eligibility for an annual performance bonus and equity, in addition to standard benefits. Specific details can be found on their benefits page.
- What is the travel expectation for the Solutions Architect, Strategic Retail position at Databricks?
- The Solutions Architect, Strategic Retail role involves travel up to 30% when needed to support client engagements and strategic account activities.
- How important is the retail industry experience for this Databricks Solutions Architect role?
- While not strictly mandatory, deep technical expertise in key areas such as big data, data science, and cloud technologies is essential. However, a strong understanding of use cases relevant to strategic accounts in the Retail space is highly preferred, as is experience driving data-driven business transformation with an AI-first mindset.