Manager, Field Engineering - Strategic Digital Native Business

California, United StatesFull Time$172,500–$237,150 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Databricks is seeking a Manager for their Digital Natives Solutions Architect team. This role focuses on growing and developing a team of Solutions Architects to drive adoption of the Databricks Platform within large, fast-growing tech companies. Responsibilities include leading the team in establishing best practices, supporting individual career growth, and representing Databricks as a technical leader to key customers. The manager will collaborate closely with sales, services, product, and engineering teams to deliver solutions for highly technical customers. Key requirements include experience in the data space, building and leading technical customer-facing teams, and a history of execution in managing workloads and consumption.

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.

Local Pay Range

$172,500—$237,150 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.BenefitsAt 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.

Sample Databricks interview questions

1
Design a distributed file system
system designmedium
2
Design a document processing pipeline
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3
Design a database schema for a fitness app
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4
Design a web crawler.
system designmedium
5
Design an algorithm and perform data manipulation (choose your language).
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