Senior Solution Architect

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 (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB).

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 with 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 Science or related field (or equivalent practical experience)

Experience using Salesforce