Customer Success Engineer - Remote

Overview

Join us as a Customer Success Engineer at Qlik! As a pivotal member of our team, you'll be at the forefront of empowering businesses with cutting-edge data integration, data quality, and data governance technology. Your dynamic, customer-centric expertise in data engineering will drive meaningful outcomes for our most strategic customers, shaping the future of data engineering.

In Short

• Own the customer relationship from a technical perspective, becoming a trusted advisor for the implementation and ongoing adoption of Qlik Talend Data Integration.
• Work at the bleeding edge of data technology, solving significant data challenges and creating impactful outcomes.
• Help customers fully utilize their subscriptions, ensuring rapid Time-To-Value and unlocking the full potential of our software.
• Partner closely with Customer Success Managers and other customer-facing roles, ensuring coordinated and successful customer outcomes.
• Collaborate with customers to deploy, manage, and audit best practices, ensuring scalable and secure implementations.
• Conduct technical workshops and provide product updates, empowering customers with the latest advancements.
• Research, investigate, and recommend solutions to data and business challenges, taking technical ownership to drive resolution.
• Understand the customer’s objectives, and work collaboratively to create a joint Success Plan that guides them to maintain a healthy platform and successful project outcomes.
• Identify new opportunities for adoption to help customers derive maximum value from their investment in Qlik.

Requirements

• Minimum of 6 years in a data engineering field, managing multiple customers and projects.
• Proficiency implementing data integration and transformation solutions is essential, using data replication, change data capture, ELT and ETL techniques, preferably using Qlik and/or Talend technologies.
• Experience with Data Quality and Governance solutions is a key advantage.
• Proficiency in Data Warehouse, Data Lake and Data Lakehouse technologies.
• Experience with databases (relational & NoSQL) such as DB2 and SQL Server.
• Experience working with data platforms such as Snowflake, Databricks or Cloudera.
• Expertise in designing and deploying complex data solutions for cloud platforms, particularly Azure, AWS or Google.
• Familiarity with Linux, Networking and security a plus.
• Development skills would be an advantage in any of Java, PowerShell, Python, RESTful APIs and SQL.
• Understanding of DevOps processes and technologies.

Benefits

• Genuine career progression pathways and mentoring programs.
• Culture of innovation, technology, collaboration, and openness.
• Flexible, diverse, and international work environment.