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# Senior Solution Architect

- **Company:** Matillion Ltd
- **Location:** Salford, UK (Remote available)
- **Experience:** Expert
- **Salary:** £85,666.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Databases, Information Engineering, Extract Transform Load (ETL), Data Transformation, Relational Databases, Cursor, Linux, Amazon DynamoDB, Revision Control Systems, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MongoDB, MySQL, NoSQL, Oracle (Applications), Cloud Services, Salesforce.Com, SQL Databases, Teradata SQL, Cloud Platform System, Netezza, Snowflake, Apache Spark, Agentic-AI, Git, Data Lakes, Pyspark, Information Technology, Slack, Cassandra, Nintex, Vertica, Claude, DocuSign, GPT, Cisco, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5928710477

## About the Role

* 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

## Description

In the AI economy, demand for data is exploding. Manual data engineering can't keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster.

We started in Manchester and now we're global - with teams across the UK, US and India.

We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We're here to make a dent in the universe bigger than ourselves. And we're looking for people who want to be part of it.
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.