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Senior Solution Architect

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Onsite

Senior Solution Architect

Matillion

Senior Solution Architect

Skills

Google Cloud PlatformSQL QueriesBig DataMongoDBPythonPostgreSQLMySQLCassandraSnowflakeDatabricksGitAIAWSLinuxn8nSales StrategySalesforceOraclePySparkAzure

8 days ago

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Important information


Contract type:

Permanent

Salary:

£71,680 – £153,600 / year

Location:

London, UK

Work mode:

Onsite

Published on:

15 October 2026

What they need


  • Matillion is scaling rapidly, and we are looking for a Senior Solution Architect to join #TeamGreen 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
  • 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
  • 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
  • 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

Benefits

  • A truly flexible & remote working culture
  • A culture that promotes work-life balance
  • Company Equity
  • Access to mental health support
  • 15 days PTO that increases to 25 after 12 months of service
  • 5 days paid volunteering leave
  • Health insurance
  • Life insurance
  • 401K
  • Career development with monthly “hackdays” and access to a Udemy account
  • A culture that promotes work life balance
  • Access to mental health support
  • 25 days holiday
  • 5 days paid volunteering leave
  • Pension
  • Career development with monthly hackdays, access to a Udemy account, Blinkist and much more- 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)
  • Strong experience in solution selling, demonstrating value through tailored software presentations and overcoming technical objections
  • 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar
  • 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
  • Knowledge of with Matillion’s Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions
  • Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza)
  • Experience with value-based sales motion, especially through MEDDPPICC and Command of the Message
  • Degree in Computer Science or related field (or equivalent practical experience)
  • Experience using Salesforce
  • Familiarity with version control tools such as Git, and experience with Python

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