Matillion

AI-powered data pipeline management platform

Senior Solution Architect

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours

Full-timeRemote in UKRemote

About the Job

Requirements

At least 5 years of experience 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 AI and agentic AI solutions; selling experience is preferred.
Expertise in cloud computing platforms such as AWS, Azure, or GCP, and experience with cloud data platforms such as Snowflake and Databricks.
In-depth understanding of relational databases including PostgreSQL, MySQL, Oracle, and SQL Server, and NoSQL databases including MongoDB, Cassandra, and DynamoDB.
Hands-on experience with technical problem-solving and integration technologies including APIs, Linux, and SQL.
Excellent communication and presentation skills, with the ability to engage technical and non-technical stakeholders.

Responsibilities

Identify technical and business pain points, confirm root causes, and map the desired future state to success metrics and business outcomes.
Build and deliver customized demonstrations, and lead workshops, trials, or proofs of concept that validate solution fit and position competitive advantages.
Support digital sales rooms and credit sizing estimates, aligning technical teams and sales strategies.
Cultivate trusted-advisor relationships, set up infrastructure, monitor adoption dashboards, and help customers achieve an early success.
Lead business reviews and customer cadences to maintain platform adoption and proactively resolve technical issues.
Identify upselling and expansion opportunities by moving customers into new workloads and groups, helping them realize return on investment.
Represent the brand as a technical expert at industry events and create technical content or case studies showcasing practical problem-solving.
Collect customer insights and relay them to Product and Engineering teams to drive continuous improvement and market alignment.
Monitor trends in cloud computing and data transformation and share relevant knowledge internally and with customers.

Desired Qualifications

Knowledge of Matillion’s Data Productivity Cloud or Matillion ETL platforms, as well as competing ETL solutions.
Experience with value-based sales methods, especially MEDDPPICC and Command of the Message.
Knowledge of big data technologies such as Spark and PySpark, data lakes, and MPP databases including Teradata, Vertica, and Netezza.
Familiarity with version control tools such as Git, and experience with Python.
A degree in Computer Science or a related field, or equivalent practical experience.
Experience using Salesforce.

Are you ready to shape the future of data?

Matillion is the company behind Maia, the AI Data Automation platform.

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.

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

More about Matillion

We operate a flexible working culture that promotes work-life balance, with benefits including:

Company Equity
30 days holiday + bank holiday
5 days paid volunteering leave
Private Health Insurance
Life Insurance
Pension
Access to mental health support

Your Safety

Matillion recruiters will only contact you from @matillion.com email addresses. We occasionally work with trusted recruiting partners; they will always tell you they are working on our behalf. We will never ask for money, fees, or bank details at any point in the hiring process. If something feels off, trust that instinct. Don't click any links. Go straight to matillion.com/careers to verify open roles or reach us at [email protected].

Want to know more?

Don't tick every box? Apply anyway. We hire for potential, not just experience. A member of our Talent Acquisition team will be in touch.

Cannot find a suitable role right now? We still want to hear from you. Drop us a line at [email protected].

Find out more about life on #TeamGreen here.

Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

About the Company

Matillion

AI-powered data pipeline management platform

Matillion builds a data management platform that helps data teams build, manage, and orchestrate data pipelines. The platform supports moving, transforming, and orchestrating data from many sources using a library of hundreds of connectors, with both no-code and code-based options (SQL, Python, dbt). AI features integrate large language models into pipelines and automatically generate documentation to boost data literacy. Pricing is usage-based, so clients pay for what they use, enabling easy scaling as needs grow. Matillion differentiates itself by its AI-enabled pipeline automation, a unified view that covers no-code to code workflows, and a broad connector ecosystem. The company aims to boost data team productivity by making data pipelines faster to build and easier to manage, while improving data literacy across the organization.

Company size: 201-500
Company stage: Series E
Total funding: $309.4M
Headquarters: Salford, United Kingdom
Founded: 2010

Recently Posted Jobs

Explore more opportunities at Matillion

See more jobs