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CSQ227R5
*This 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.
Revenue realization across a broad portfolio of customer accounts.
Efficient execution of enablement workflows at scale.
Monitoring activation, engagement, and usage trends.
Identification of recurring friction points across accounts.
Continuous improvement of processes and tooling.
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:
Identify operational inefficiencies and recurring friction using data and structured analysis.
Work confidently with dashboards, spreadsheets, and basic analytics to uncover trends and surface insights.
Translate insights into clear, prioritized action plans that drive measurable improvement.
Build lightweight automations or scripts to reduce manual effort and improve throughput.
Leverage AI tools, copilots, and coding assistants to accelerate analysis and solution design.
Create clear visual representations and structured reporting that make complex information actionable.
Turn performance metrics into measurable improvement initiatives.
Improve scale and efficiency through technology rather than additional headcount.
Operate with urgency, accuracy, and precision in a fast-moving environment.
Strong operational discipline and attention to detail.
Analytical comfort and ability to work with structured and unstructured data.
Experience improving processes or building scalable workflows.
Curiosity about automation and efficiency.
Ownership mindset and bias for action.
Comfort working in a fast-paced, technical environment.
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
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.
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.
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.
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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Databricks provides a unified cloud platform for data analytics and artificial intelligence, enabling enterprises to manage data pipelines, data warehousing, and machine learning workloads. The company serves data engineers, data scientists, and analysts across various industries who need to build and deploy AI applications at scale.
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