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Benefits & Perks
•Equity
•Equity
Required Skills
Data analysis
Process improvement
Workflow design
CSQ227R234
**About the RoleThis role is required to work in a hybrid office setting in our Bellevue, WA office.
The Associate Customer Enablement Architect plays a critical role in scaling customer impact across a broad portfolio of accounts.
This role combines execution discipline with builder capability. You will design and improve repeatable workflows, build lightweight automations, analyze data to uncover trends, and ensure that customer enablement initiatives move efficiently from plan to realization.
You will operate across a large set of accounts, driving revenue realization and identifying systemic friction that prevents customers from activating and adopting learning initiatives.
This is a high-ownership role for someone who thrives on turning complexity into clarity and building systems that scale.
What You Will Own
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Revenue realization across a broad portfolio of customer accounts.
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Efficient execution of enablement workflows at scale.
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Monitoring activation, engagement, and usage trends.
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Identification of recurring friction points across accounts.
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Continuous improvement of processes and tooling.
Builder, Data & Automation Expectations
This role combines operational discipline with a strong builder mindset. You are expected to use data, automation, and AI to continuously improve scale, efficiency, and impact.
You should be able to:
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Identify operational inefficiencies and recurring friction using data and structured analysis.
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Work confidently with dashboards, spreadsheets, and basic analytics to uncover trends and surface insights.
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Translate insights into clear, prioritized action plans that drive measurable improvement.
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Build lightweight automations or scripts to reduce manual effort and improve throughput.
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Leverage AI tools, copilots, and coding assistants to accelerate analysis and solution design.
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Create clear visual representations and structured reporting that make complex information actionable.
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Turn performance metrics into measurable improvement initiatives.
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Improve scale and efficiency through technology rather than additional headcount.
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Operate with urgency, accuracy, and precision in a fast-moving environment.
What You Bring
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Strong operational discipline and attention to detail.
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Analytical comfort and ability to work with structured and unstructured data.
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Experience improving processes or building scalable workflows.
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Curiosity about automation and efficiency.
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Ownership mindset and bias for action.
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Comfort working in a fast-paced, technical environment.
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 2 Pay Range**$86,600—$119,150 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.
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
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
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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
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