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Head of Data Architecture and Engineering

vor 2 Monaten


Berlin, Berlin, Deutschland Clear Ventures Vollzeit

Job Summary

We are seeking a highly skilled and experienced Head of Data Architecture and Engineering to join our team at Clear Ventures. As a key member of our data tribe, you will be responsible for designing, building, and maintaining our data pipelines and warehouses, ensuring high accuracy and low latency.

Key Responsibilities

  • Lead the Architecture and Engineering function, managing the team, dealing with workload management, performance, and personal development.
  • Design and build highly-scalable data models establishing a coherent, single-source of truth for Clear Ventures 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 Clear Ventures.
  • Own the data tool stack, ensuring high productivity and a great developer experience for all our data practitioners.

Requirements

  • Has extensive experience of delivering complex data architectures within GCP.
  • Has deep knowledge of multiple approaches to data modelling across relational and non-relational approaches.
  • Demonstrates a clear understanding of the challenges and opportunities of working with very large, volatile, and heterogeneous datasets.
  • Is able to communicate complex technical concepts in simple terms, to build consensus and bring people with you.
  • Are fluent in English; additional languages are always valued at Clear Ventures.
  • Is a team player with excellent communication and stakeholder management skills.
  • Has a 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.

What We Offer

  • A competitive and attractive compensation package.
  • A diverse team of more than 45 nationalities.
  • A dynamic and innovative work environment.