
501 - 1000 employees
Founded 2011
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Matillion is a company that provides a comprehensive platform for building and managing data pipelines, creating no-code data transformations, and delivering data for AI and analytics at scale. The platform supports generative AI by enabling the use of unstructured data and creating AI pipelines. Matillion also offers features for automation and management, security, and data connectivity, allowing users to connect any data source to a preferred cloud data platform with pre-built or custom connectors. With capabilities in ETL processes, Matillion allows for data cleansing, transformation, and aggregation using both no-code and high-code methods. The company serves various industries including financial services, healthcare, and retail, helping organizations leverage their data to drive productivity, profits, and innovation.
🕒 August 12
AWS
Azure
Cassandra
Cloud
DynamoDB
ETL
Google Cloud Platform
Linux
Matillion
MongoDB
MySQL
Oracle
Postgres
PySpark
Spark
SQL
Go
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501 - 1000 employees
Founded 2011
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Matillion is a company that provides a comprehensive platform for building and managing data pipelines, creating no-code data transformations, and delivering data for AI and analytics at scale. The platform supports generative AI by enabling the use of unstructured data and creating AI pipelines. Matillion also offers features for automation and management, security, and data connectivity, allowing users to connect any data source to a preferred cloud data platform with pre-built or custom connectors. With capabilities in ETL processes, Matillion allows for data cleansing, transformation, and aggregation using both no-code and high-code methods. The company serves various industries including financial services, healthcare, and retail, helping organizations leverage their data to drive productivity, profits, and innovation.
• Lead, mentor, and develop a team of senior Solution Architects across EMEA, Middle East, and Africa • Serve as an executive technical sponsor on high-value deals through customer meetings, strategy sessions, and architectural deep dives • Manage team operational cadences, including structured 1:1s, professional development plans, and performance metrics • Drive strategic Go-To-Market initiatives and business operationalization to expand the global footprint and deliver measurable revenue growth over 6–12 months • Develop partner strategies with regional ecosystems to align technical architectures and scale business impact • Align cross-functionally with international leaders to unify pre-sales technical strategies with business goals • Lead the International Solution Architecture team and own strategic GTM initiatives and complex technical challenges
• 10+ years of total experience in technical enterprise roles, including Solution Architecture, Sales Engineering, or Professional Services • At least 5+ years managing, leading, or scaling pre-sales technical teams • Proven track record in enterprise solution selling and complex, multi-stakeholder technical sales cycles • Experience driving multi-million-dollar ARR targets • Experience institutionalising MEDDPICC, Command of the Message, or similar value-driven sales methodologies across a team • Deep expertise in AWS, Azure, and GCP • Expertise in Snowflake and Databricks • Deep knowledge of PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, and DynamoDB • Hands-on command of APIs, Linux environments, SQL, and data pipeline technologies • Active experience leading or deploying enterprise Generative and Agentic AI initiatives, including tools such as Claude, ChatGPT, Cursor, and n8n • Preferred/desirable: Matillion Data Productivity Cloud, Matillion ETL, or competing data integration platforms • Preferred/desirable: Spark/PySpark, Data Lakes/Lakehouses, and MPP database architectures including Teradata, Vertica, and Netezza • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related STEM field is preferred/desirable, or equivalent practical experience
• Company Equity • 30 days holiday + bank holiday • 5 days paid volunteering leave • Private Health Insurance • Life Insurance • Pension • Access to mental health support
Apply Now🕒 August 5
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