Role at a glance
- Salary
- $172.5K – $237.2K/yr
- Location
- San Francisco, California, United States Remote - US - California
- Work arrangement
- Remote
- Employment
- Full-time
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Role Summary
The Digital Natives Solutions Architect team manager will grow and develop a team of Solutions Architects while driving adoption of the Databricks Platform among large, fast-growing technology companies. The role leads customer lifecycle best practices and represents Databricks as a technical leader, collaborating with sales, services, product, and engineering to deliver solutions and outcomes.
What You'll Do
- Hire and develop a team of deeply technical Solutions Architects serving digital native customers across data, analytics, and AI workloads.
- Adapt the Solutions Architect team's skills and engagement model to the needs of digital native customers.
- Guide the team in technically qualifying workloads, identifying use cases, building proofs of concept, and establishing trusted-advisor...
- Travel to customer sites for executive sessions, technical workshops, and relationship building.
- Establish relationships across engineering, product, services, and sales to support customer and team success.
- Stay current with emerging data and AI trends in the digital native technology sector.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
4+ years of experience in the data space with a technical product such as data warehousing, big data, cloud infrastructure, or machine learning. 3+ years of experience building and leading technical customer-facing teams, including hiring, onboarding, and supporting team members in a high-growth environment. History of building a territory, growing strategic accounts, exceeding targets, managing workloads and consumption with sales, product, and engineering counterparts, and owning executive alignment in accounts that guide strategic decisions.
Required
- Technical product experience in data warehousing, big data, cloud infrastructure, or machine learning
- Experience building and leading technical customer-facing teams
- Hiring, onboarding, and supporting team members in a high-growth environment
- Building a territory and growing strategic accounts
- Exceeding targets
- Managing workloads and consumption with sales, product, and engineering counterparts
- Owning executive alignment in accounts that guide strategic decisions
Original job description
Content provided by the employer
Original job description
Content provided by the employer
As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies.
You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.
This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.
This role will report to the Director of Solutions Architecture for the Strategic Digital Native Business Unit.
Responsibilities:
- Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.
- Adapt the SA team's skills and engagement model to match the needs of Digital native customers
- Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
- Travel to customer sites for executive sessions, technical workshops, and building relationships
- Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team
- Stay current with emerging Data and AI trends in the digital native tech sector
What we look for:
- 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)
- 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment
- A history of building a territory, growing strategic accounts, and exceeding targets
- Inspiring a team vision about the unique nature of the digital natives business
- A history of execution by managing workloads and consumption with sales, product, and engineering counterparts
- Experience owning executive alignment in accounts that guide strategic decisions
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.