Overview
Are you ready to shape the future of data?
Full job description
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.
The Senior Solution Architect at Matillion plays a key role in Matillion’s GTM motion. This role is responsible for discovering customer requirements, demonstrating how Matillion’s solutions solve their challenges, and driving business value through the platform. The Solution Architect is a consultative and adaptable team player who combines solution selling, technical expertise, and a customer-centric approach to engage in high-level technical discussions and foster long-term customer relationships.
Diagnose technical and business pain, confirming root causes and negative consequences.
Engage key stakeholders to confirm desired future state, mapping it to success metrics and business outcomes.
Support customer digital sales rooms, providing technical input and ensuring alignment between sales and technical teams.
Lead workshops, trials, or POCs to validate solution fit with business objectives.
Position competitive advantages to influence trial success criteria.
Guide customer teams to integrate our solutions into their data stacks during trials while driving measurable business outcomes.
Support technical aspects of credit sizing estimates.
Actively support customer cadences and business review meetings ensuring platform adoption, achievement of business goals, and driving customer engagement.
Identify and drive opportunities for upselling and expansion, ensuring customers realise value by increasing platform consumption through new workloads and groups.
Cultivate trusted advisor relationships with customers through cadences to set up technical infrastructure, rapidly achieve first value, and create long term customer engagement.
Monitor adoption dashboards for key success indicators, proactively driving consumption upward, and ensuring the timely resolution of issues.
Create technical content and case studies that demonstrate how Matillion’s solutions address customer challenges.
Represent Matillion as a technical expert at industry events, conferences, and user groups, fostering a strong brand presence.
Collect and communicate customer feedback to the Product and Engineering teams, ensuring continuous product improvements and alignment with market needs.
Stay informed about industry trends and best practices in data integration, cloud computing, and data transformation, sharing insights with both customers and internal teams.
5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar.
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).
Strong communication and presentation skills, with the ability to engage both technical and non-technical stakeholders.
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 Science or related field (or equivalent practical experience)
Experience using Salesforce
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