![Mentimeter](https://media.trabajo.org/img/noimg.jpg)
Chief Data Architect
3 hours ago
Mentimeter is a cutting-edge engagement tool that revolutionizes presentations by turning them into interactive conversations. Our goal is to make meetings, classrooms, and trainings more productive and memorable. We believe in the power of collaboration and strive to achieve our mission by adopting a curious and collaborative mindset.
We are looking for a Chief Data Architect who will play a crucial role in shaping our data-driven future. As a pivotal part of our Data and Analytics organization, you will be responsible for developing a robust data ecosystem that supports various departments with both data and infrastructure. Your contributions will directly influence our business and product decisions, driving us toward a data-driven future.
Key Responsibilities:
- Lead and nurture a team of 5 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.
About You
We are looking for someone with 10 years of experience working with data engineering and data platforms, with at least 4 dedicated years nurturing and leading a team. You should have a strong understanding of data engineering concepts and technologies, including data pipelines, ETL/ELT processes, data warehousing, and cloud-based data platforms. Experience with agile development methodologies is also required. Great communication, interpersonal, and project management skills are essential for this role.
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