Forward Deployed Engineer

Role Description

The Forward Deployed Engineer (FDE) is a senior, hands-on technical role embedded with Alteryx’s most strategic enterprise customers and partners. Your mission is to make Alteryx One a core part of modern data and AI architectures by turning existing analytics workflows into AI-ready, cloud-native solution patterns that scale through partners.

This is not a traditional professional services or slideware architect role. As an FDE, you will design, build, and validate real production systems, then package what works into repeatable patterns that partners can sell and deliver independently.

What You’ll Do

• 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

What You’ll Own

• Technical leadership from architecture → pilot → production → partner handoff
• Architecture decisions for cloud data platform and analytics modernization
• Creation of repeatable patterns that drive faster time-to-value, expansion, and consumption
• Clear exit criteria for every engagement—success is partner-led delivery, not long-term dependency

What Success Looks Like

• Success in this role is measured by what reaches production, what scales, and what continues without your direct involvement.
• Ship production systems
• Move enterprise customers from existing analytics workflows to AI-ready, cloud-native architectures built on Alteryx One
• Take solutions from pilot to production in ~90 days
• Create scalable solution patterns
• Design architectures, workflows, and deployment models that are reused across customers
• Establish repeatable patterns that become reference implementations
• Enable partner-led delivery
• Hand off solutions to systems integrators and consulting partners with clear ownership and exit criteria
• Ensure partners can sell, implement, and extend solutions independently
• Drive faster customer outcomes
• Reduce time-to-production for analytics and AI initiatives
• Deliver measurable impact, including cost reduction, faster insights, and improved operational efficiency
• Shape the product with real-world evidence
• Provide clear, structured feedback based on live deployments
• Influence roadmap and product direction by validating solutions in production

What You Bring

• 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

Technical Skills

• 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

Ways of Working

• Builder mindset—you prefer shipping real systems over creating slides
• Comfortable operating in ambiguity and giving candid technical guidance
• Motivated by scale, reuse, and partner leverage rather than one-off wins

Compensation

• Base salary range for this role in the United States is $202,500-$225,000 with On-Target-Earnings range of $270,000-$300,000.
• A monthly Connectivity Plus stipend of $150 to support remote work-related expenses
• An annual $200 home office reimbursement

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