Senior Solution Architect
New
M
MatillionData automation
Workplace type: Remote; Listing location: United KingdomFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar
- Required Skills
- AWSSQLGCPSnowflakeAzureRESTful APIsLinuxDatabricks
Requirements
- Have 5-7 years of experience working with enterprise customers in a technical role, such as Solution Architect or Sales Engineer.
- Bring strong solution-selling experience, including demonstrating value through tailored software presentations and overcoming technical objections.
- Have experience using, and preferably selling, AI and agentic AI solutions such as Claude, ChatGPT, Cursor, or n8n.
- Have expertise in AWS, Azure, or GCP and experience with cloud data platforms such as Snowflake and Databricks.
- Understand relational databases including PostgreSQL, MySQL, Oracle, and SQL Server.
- Understand NoSQL databases including MongoDB, Cassandra, and DynamoDB.
- Have hands-on experience with technical problem-solving and integration technologies, including APIs, Linux, and SQL.
- Be able to communicate and present to technical and non-technical stakeholders.
- Knowledge of Matillion Data Productivity Cloud, Matillion ETL, or competing ETL solutions is a plus.
- Experience with value-based sales methods such as MEDDPPICC and Command of the Message is a plus.
- Knowledge of Spark, PySpark, data lakes, or MPP databases is a plus.
- Familiarity with Git, Python, or Salesforce is a plus; a Computer Science degree or equivalent practical experience is also a plus.
Responsibilities
- Diagnose technical and business pain points, confirm root causes, and map the desired future state to success metrics and business outcomes.
- Build and deliver customized demos and lead workshops, trials, or POCs to validate solution fit and position competitive advantages.
- Support digital sales rooms and credit sizing estimates, aligning technical teams and sales strategies.
- Build trusted-advisor relationships, set up infrastructure, monitor adoption dashboards, and help customers achieve an initial win.
- Lead business reviews and customer cadences to support platform adoption and proactively resolve technical issues.
- Identify upselling and expansion opportunities across customer workloads and groups.
- Represent the brand at industry events and create technical content or case studies.
- Collect customer insights and share them with Product and Engineering teams.
- Track trends in cloud computing and data transformation and share relevant knowledge internally and with customers.
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