Applied Forward Deployed Engineer
New
M
Monte CarloData Observability
Remote, AmericasFull-TimeSenior
Salary140,000 - 180,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLSnowflakeAirflowRESTful APIsdbtDatabricksLooker
Requirements
- 5+ years building on Snowflake, Databricks, or modern cloud data warehouse environments — not as an end user, as someone who designs, builds, and debugs on top of them.
- Familiarity with the tools that surround the warehouse — dbt, Airflow, Fivetran, Looker, or similar — is a strong plus.
- Comfortable writing Python and SQL and working with REST APIs in customer environments.
- You solve problems with code, not slides.
- You've owned technical relationships with enterprise customers.
- You can run a room of data engineers and give a crisp status update to a VP in the same week without switching personas.
- You've been the person accountable for getting customers from signed contract to live and adopted — whether in implementation, technical onboarding, solutions consulting, or a similar post-sale role.
- You know what it takes to drive consumption, not just deployment.
- You've worked in environments where the playbook didn't exist yet. You didn't wait for one — you built it.
- Familiarity with data quality concepts, pipeline monitoring, or incident response in data environments.
- Bachelor's degree in computer science, data science, engineering, economics, business analytics, or a related field.
Responsibilities
- Own onboarding and deployment from day one post-close — getting customers live on Snowflake, Databricks, and adjacent stack components with the right monitors, alerts, and integrations configured for their environment.
- Drive customers to consumption — you're accountable for ensuring they're actively using what they bought and realizing measurable value, not just technically deployed.
- Write production-quality code where needed: custom integrations, API-based automations, SDK implementations, and data quality rule deployments tailored to the customer's actual pipelines.
- Unblock customers fast — diagnosing deployment issues, resolving edge cases, and removing whatever stands between a signed contract and a fully operational Monte Carlo environment.
- Build adoption depth beyond the initial champion — helping customers expand usage across teams, data assets, and use cases to drive long-term stickiness.
- Become the technical advisor customers call before they escalate — shaping how they operationalize data observability and growing into a trusted extension of their data team.
- Feed deployment and adoption signals back to Product and Engineering — you'll have the clearest view of what's working in production and where customers get stuck.
- Help define what great post-sale technical execution looks like as an early FDE hire — you'll shape the playbook.
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