Forward Deployed Engineer

Overview

We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together.

About The Role

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, Big Query, 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

Experience

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, Big Query, 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

Why Alteryx

At Alteryx, you’ll work on real customer problems at the intersection of data platforms, analytics, and AI—while…