Strategic Data Architect and Engineering Lead

Vor 3 Tagen

Berlin, Berlin, Deutschland Omio Vollzeit

Omio is revolutionizing the way people travel, and we're seeking a highly skilled and strategic leader to join our team as Head of Data Architecture and Engineering. In this key role, you will be responsible for designing, building, and maintaining our data pipelines and warehouses, ensuring high data quality, accuracy, and low latency. You will also lead a small team of engineers and architects, working closely with the VP Data and Analytics to deliver on our data strategy. With over 1,000 travel providers and 27 million monthly users, our data platform is the nerve center of our organization, and we need a strong leader to drive its success.

Key Responsibilities:

  • Lead the Architecture and Engineering function, managing the team, workload management, performance, and personal development.
  • Design and build highly scalable data models, establishing a coherent, single-source of truth for Omio data.
  • Establish governance processes around access control and reference- and master-data management.
  • Manage our data pipelines and data quality infrastructure, ensuring high accuracy and low latency.
  • Work closely with upstream and downstream providers and consumers of data, building strong relationships and ensuring strong links across the business.
  • Work with Analytics Engineers to define and establish non-functional requirements for production data products.
  • Manage our GCP estate, tracking usage and costs.
  • Be a strong thought leader, bringing a balanced view on new trends and technologies that may be of use to Omio.
  • Own the data tool stack, ensuring high productivity and a great developer experience for all our data practitioners.

Requirements:

  • Extensive experience in delivering complex data architectures within GCP.
  • Deep knowledge of multiple approaches to data modeling across relational and non-relational approaches.
  • Clear understanding of the challenges and opportunities of working with very large, volatile, and heterogeneous datasets.
  • Ability to communicate complex technical concepts in simple terms, building consensus and bringing people with you.
  • Fluency in English; additional languages are always valued at Omio.
  • Team player with excellent communication and stakeholder management skills.
  • Solution-oriented approach to problem-solving.
  • Key technologies: GCP (BigQuery, Looker, Airflow, dbt, Docker, SQL, Python, Terraform).
  • Experience in large-scale data processing with Apache Spark or similar technologies, and proficiency in Scala, Java, or Python.

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