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Sr. Manager, Field Engineering - Healthcare and Life Sciences (Health Plans)

Databricks

Sr. Manager, Field Engineering - Healthcare and Life Sciences (Health Plans)

Databricks

United States

·

On-site

·

Full-time

·

2w ago

Compensation

$192,100 - $264,175

Benefits & Perks

Equity

Equity

Required Skills

Team leadership

Technical sales

Data architecture

Healthcare domain knowledge

FEQ327R110

Reporting to the Director of Field Engineering for Healthcare & Life Science, the Solutions Architect Senior Manager will play a pivotal role in leading a high-performing team of pre-sales Solutions Architects. The team will specialize in some of the largest complex, strategic healthcare insurance accounts. Your responsibilities will encompass team leadership, strategic collaboration with the sales organization, and ensuring the successful implementation of cutting-edge solutions in enterprise software, big data/analytics, data engineering, and data science.

The impact you will have:

Team Leadership:

  • Hire, train, and nurture a team of Solutions Architects, fostering a culture of excellence and innovation.

  • Empower your team to navigate technical intricacies, identify key use cases, and build compelling proof of concepts.

  • Develop and execute strategies for the continuous growth and success of the Solutions Architect team.

  • Foster a culture of continuous learning and development within the team.

Sales Excellence / Databricks Consumption:

  • Drive the achievement of sales targets in your region by guiding the Solutions Architect team in qualifying use cases and demonstrating technical proficiency.

  • Lead your team in establishing themselves as trusted advisors throughout the entire customer life-cycle.

  • Lead your team to excel in technical qualifications, proof of concepts, architecture discussions, product demonstration, and implementation plans.

  • Play a crucial role in achieving the technical win in complex sales cycles.

Customer Success and Value Delivery:

  • Ensure customer success by making them successful with Databricks solutions, delivering outsized value to their businesses.

  • Foster strong relationships across the business landscape, collaborating with partners, sales, and go-to-market teams to maximize customer and team success.

What we look for:

  • Experience: 5+ years in the data space with a technical product, such as data warehousing, big data, or machine learning.

  • Leadership: 5+ years of experience leading technical teams, preferably in a pre-sales organization, exceeding annual quotas and building strategic accounts.

  • Advisory Role: Proven experience as a trusted advisor to technical executives, guiding strategic data infrastructure decisions.

  • Team Development: Track record of hiring, training, and promoting qualified candidates for success within the organization.

  • Collaboration: Ability to create positive morale within the team and foster effective working relationships with Field Engineering, Sales, and other internal partners.

  • Nice to Have: Experience in the healthcare industry especially with health plans and health insurers

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 base 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 anticipated 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 1 Pay Range**$192,100—$264,175 USDZone 2 Pay Range$192,100—$264,100 USDZone 3 Pay Range$192,100—$264,100 USDZone 4 Pay Range$192,100—$264,100 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, please visit https://www.mybenefitsnow.com/databricks.

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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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge