Senior Solution Architect

Overview

Ready to shape the future of data?

Matillion is the intelligent data integration platform. We're changing how the world works with data – and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we’re shaping the future of data engineering with Maia – our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed.

Join Team Green, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves. Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join Team Green during this period of exciting expansion. This is a high-impact role centered on securing the technical win and maximizing value for our prospective enterprise customers.

We are looking for a consultative technical expert who can own the pre-sales lifecycle—from qualifying complex use cases and managing high-stakes software trials to demonstrating exactly how Matillion’s platform solves mission-critical data challenges. You won’t just be "demoing" software; you’ll be driving measurable business value and fostering the long-term relationships that underpin our growth.

• Sales & Validation Cycle
  • Diagnose & Map: Identify technical and business pain points, confirm root causes, and map the desired future state to specific success metrics and business outcomes.
  • Tailored Proofs: Build and deliver customized demos and lead workshops, trials, or POCs that validate the solution’s fit while positioning competitive advantages.
  • Technical Alignment: Support digital sales rooms and credit sizing estimates, ensuring technical teams and sales strategies are perfectly aligned.
• Post Sales Onboarding & Growth
  • Adoption & Value: Cultivate "trusted advisor" relationships to set up infrastructure, monitor adoption dashboards, and ensure customers rapidly achieve their first "win."
  • Engagement & Cadence: Actively lead business reviews and customer cadences to ensure platform adoption remains high and technical issues are resolved proactively.
  • Strategic Expansion: Identify opportunities for upselling and expansion by moving the customer into new workloads and groups, ensuring they realize maximum ROI
• Strategy, Product, & Brand
  • Technical Evangelism: Represent the brand as an expert at industry events and create technical content or case studies that showcase real-world problem-solving.
  • Product Feedback Loop: Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment.
  • Market Intelligence: Stay ahead of industry trends in cloud computing and data transformation, sharing that knowledge internally and with customers to maintain a competitive edge.

• Must haves:
  • 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar
  • Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections.
  • Experience using and preferably selling AI and agentic AI solutions (Claude, ChatGPT, Cursor, n8n). Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks.
  • In-depth understanding of relational databases (Postgre
    
    SQL, MySQL, Oracle, SQL Server) and No
    
    SQL databases (Mongo
    
    DB, Cassandra, Dynamo
    
    DB).
  • Hands-on experience with technical problem-solving and integration technologies (APIs, Linux, SQL).
  • Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders.
• Good to haves:
  • Knowledge of Matillion’s Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions
  • Experience with value-based sales motion, especially through MEDDPPICC and Command of the Message
  • Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza)
  • Familiarity with version control tools such as Git, and experience with Python
  • Degree in Computer…