Lead Data Architect

vor 2 Monaten


Berlin, Berlin, Deutschland Clear Ventures Vollzeit

About Clear Ventures

At Clear Ventures, we are revolutionizing the way people travel and experience the world. Our innovative technology connects travelers with a vast network of transportation providers, simplifying journeys and empowering exploration.

We are a dynamic team of passionate individuals from diverse backgrounds, united by a shared vision to make travel seamless and accessible for everyone.

Head of Data Architecture & Engineering

Our data platform is the heart of our operations, driving insights that shape our business strategy and enhance the traveler experience. With massive event volumes, thousands of travel partners, and a wealth of third-party data, we are building a robust and scalable data ecosystem.

As Head of Data Architecture & Engineering, you will play a pivotal role in designing, developing, and maintaining our data infrastructure. You will lead a team of talented engineers and architects, ensuring the highest standards of data quality, availability, and security.

Responsibilities:
  • Lead the Data Architecture & Engineering function, fostering a culture of excellence and continuous improvement.
  • Design and implement highly scalable data models, establishing a unified source of truth for Clear Ventures' data.
  • Establish robust governance processes for data access control, reference data management, and master data stewardship.
  • Manage our data pipelines and quality infrastructure, ensuring high accuracy and low latency for critical business operations.
  • Collaborate closely with stakeholders across the organization, understanding their data needs and delivering tailored solutions.
  • Champion best practices in data engineering, promoting innovation and knowledge sharing within the team.
Qualifications:
  • Extensive experience in designing and implementing complex data architectures within cloud environments (e.g., GCP).
  • Deep understanding of various data modeling approaches, including relational and non-relational databases.
  • Proven ability to manage large-scale data processing projects using technologies such as Apache Spark or similar.
  • Strong leadership skills with a passion for mentoring and developing talent.
  • Excellent communication and collaboration skills, enabling effective interaction with technical and non-technical stakeholders.

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