AWS, Azure, Business Intelligence, Data Architecture, Data engineer, Data Engineering, Data warehouse solutions, Data warehousing, Database management, Datenarchitektur, ETL, ETL
Unify regional solution engineering teams into a high-performing global team.
Define and implement global best practices and standards for all stages of the sales cycle, from qualification to closing, and for technical account management.
Develop comprehensive onboarding and training programs, including learning paths and individual competency development, to foster continuous growth within the team.
Support sales leadership in the recruitment and hiring of diverse and talented Solution Engineers.
Proactively fosters a culture of inclusion, collaboration, and knowledge sharing.
Monitor and report on global team activity, including POCs, sales activities, and key performance indicators.
Support RBLs in promoting team satisfaction and retention through effective mentorship and development.
Organize and host team activities, including virtual meetings and offsites, to facilitate cross-regional exchange and knowledge sharing.
Serve as a technical contact and trusted advisor for high-priority prospects and top-tier customers across all regions.
Lead and support Proof of Concepts (POCs) and Proof of Values (POVs) for enterprise prospects, demonstrating the value of our solutions.
Provide expert technical support for cross-sell and up-sell opportunities within existing top-tier accounts.
Collaborate with customer success and IPS teams to deliver impactful customer workshops.
Partner with regional business leads and account teams to drive new revenue growth.
Develop and maintain technical content and sales enablement tools, such as solution blueprints and battle cards, in collaboration with product management and marketing.
Coordinate technical support for new regions and emerging markets.
Maintain a deep understanding of modern data-driven architectures and tools, from ETL to BI/Analytics.
Stay abreast of industry trends and emerging technologies and contribute to the development of innovative solutions.
Provide expert guidance on MPP databases (e.g. Exasol, Teradata, Vertica, Netezza, Greenplum, Redshift, Exadata, Impala).
Provide guidance on ETL routes.
Provide expert guidance on cloud platforms (e.g., Amazon AWS, Microsoft Azure, Google Cloud Platform).
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Business Informatics, or a related technical field.
Extensive experience in pre-sales, technical post-sales, or BI/DWH consulting.
Proven track record of success in winning large enterprise opportunities.
Strong understanding of SQL, data warehousing, and at least one programming language (e.g., Python, Java, Bash, R, C++).
Experience working with enterprise accounts and stakeholders at all levels.
Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences.
Solution-oriented and results-driven approach.
Experience with cloud platforms (e.g. Amazon AWS, Microsoft Azure, Google Cloud Platform).
Ability to work effectively in a global, remote-first environment.