Design and build AI-ready data architectures using Alteryx One, anchored to cloud data platforms such as Snowflake, BigQuery, Databricks, and AWS
Convert existing analytics workflows into deployable solution patterns that can be reused across customers
Deliver lighthouse customer deployments that move from pilot to production in ~90 days
Partner closely with systems integrators and consulting partners to enable partner-led delivery
Work alongside Sales Engineers and Product teams to validate solutions in production and provide structured product feedback
Create documentation, reference architectures, and playbooks so solutions can scale without ongoing FDE involvement

Requirements

7+ years building data, analytics, or platform systems in production
Hands-on experience with at least one major cloud data platform (Snowflake, BigQuery, Databricks, Redshift, or AWS)
Experience working directly with enterprise customers in a technical, field-facing role
Strong background in analytics workflows, data pipelines, or analytics engineering
Comfortable writing production workflows and lightweight code (primarily Python and SQL; APIs as needed)
Solid understanding of cloud architecture, governance, and cost tradeoffs

Benefits

Medical, dental, and vision coverage
401(k) with company match
Paid parental leave, caregiver leave, and flexible time off
Mental health support and wellness reimbursement
Career development and education assistance
Monthly Connectivity Plus stipend of $150 to support remote work-related expenses
Annual $200 home office reimbursement

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data architectureanalytics workflowsdata pipelinesanalytics engineeringPythonSQLAPIscloud architecturegovernancecost tradeoffs

collaborationcommunicationcustomer engagementproblem-solvingdocumentation