Chief Data Architect

13 hours ago


Stockholm, Stockholm, Sweden Mentimeter Full time
About Mentimeter

Mentimeter is a cutting-edge engagement tool that aims to revolutionize the way people interact with presentations. Our mission is to turn passive meetings into engaging conversations, leveraging real-time interactivity and clear visualizations. With over 300 million users worldwide, we're committed to making a significant impact.

As a leader in our Data Engineering & Data Platform team, you'll play a pivotal role in shaping the future of our company. We're seeking an experienced professional to lead our data platform initiatives, driving mission-critical business goals and collaborating closely with cross-functional teams.

Our Data Platform Team is at the forefront of building data products and services that steer the company's strategic direction. As a key member of our Data and Analytics organization, you'll develop a robust data ecosystem that supports various departments, including Product, Marketing, Sales, and Finance. Your contributions will directly influence Mentimeter's business and product decisions, driving us toward a data-driven future.

About the Role
  • Lead and nurture a team of 6 data engineers to design, develop, and deliver modern data platform capabilities and data ecosystem for the company.
  • Collaborate closely with data engineers, data professionals, engineering leadership, and business stakeholders to understand requirements and translate them into data platform capabilities.
  • Define roadmap and requirements for our data platform based on internal and external customer needs, business objectives, and market trends.
  • Prioritize data platform capabilities and initiatives to maximize business value.
  • Guide the data platform team and engineering through enhancements of data flows across the data ecosystem.
  • Mentor and coach team members to improve skills and knowledge in relevant areas.
  • Develop and manage project plans, timelines, and budgets for data platform initiatives.
  • Ensure compliance with data governance policies and security standards.
  • Stay up-to-date with industry trends and emerging technologies in data engineering, and identify opportunities for innovation and improvement.


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