Jobs
Required skills
Go
Spark
Excel
CSQ227R226
The Lead Engagement Manager delivers measurable impact for our LATAM customers in the Professional Services organization. You will own and independently scope multi-quarter, highly complex initiatives to solve problems with no clear precedent, operating with high autonomy in high-stakes environments.
The impact you will have:
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Regional Impact: Drive excellence at the Region level, contributing to team-level booking targets and consumption goals.
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Complex Problem Solving: Navigate complex regional, regulatory, or market-specific complexities across multiple countries.
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Mentorship: Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects.
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Sales Strategy: Shape account strategy to align with client goals and lead the sales of complex Professional Services & Training (PS&T) offerings.
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Strategic Relationships: Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements.
What we look for:
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10+ years of leadership experience in Professional Services.
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Expert-level understanding of PS&T offerings and the ability to customize solutions for complex environments.
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Proficient thought leadership, increasingly viewed as an external expert in the industry.
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Participate in the hiring process to attract top-tier talent.
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Expertise in Databricks architecture, ecosystem, and strategic account planning.
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Ability to travel up to 25-50% as required.
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Proficiency in both Portuguese and English
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
Series IDatabricks, 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
3.8
10 reviews
Work-life balance
2.8
Compensation
4.0
Culture
4.2
Career
3.5
Management
4.0
72%
Recommend to a friend
Pros
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
Cons
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
Salary Ranges
34 data points
Mid/L4
Senior/L5
Mid/L4 · Senior Delivery Solutions Engineer
1 reports
$155,063
total per year
Base
$134,576
Stock
-
Bonus
-
$155,063
$155,063
Interview experience
6 interviews
Difficulty
3.2
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 83%
Negative 17%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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