Data Architect for Cloud Platforms

4 days ago


Stockholm, Stockholm, Sweden Trustly Full time

We are leading the human-centric payments revolution at Trustly, passionately building a convenient, intelligent, and responsible way of paying for things online.

Our tech company has industry-leading capabilities, but it's our people's ingenuity that makes us leaders in our field.

The Data Domain is transforming Trustly into a truly data-driven organization by taking care of every aspect of the data journey.

We provide data and analytics artifacts to improve decisions, operations, and the customer experience.

About the Role

You will work with the Data Platform team to implement and maintain a new data platform based on AWS.

The goal is to design and build a strong and reliable data foundation that supports operational data exchanges and analytics use cases.

Key Responsibilities
  • Design and develop Trustly's Data Platform on AWS
  • Build and maintain batch and streaming data pipelines from internal and external data producers
  • Work with transformations of data from one or multiple source systems to feed downstream applications
  • Optimize data processes for efficiency and scalability
  • Implement data security measures and access controls to protect sensitive information
  • Participate in data governance and compliance efforts to meet regulatory requirements
  • Provide technical expertise and guidance for critical data projects
  • Continuously optimize data architecture to support Trustly's evolving data needs
  • Identify new use-cases for our data and collaborate with stakeholders on realizing those
Requirements
  • A Master's degree in Computer Science, Engineering, or a similar field
  • At least 7 years of experience as a data engineer/data architect
  • Proficient in designing complex data pipelines and processing systems
  • Experienced with SQL/NoSQL databases (PostgreSQL, Redshift, MongoDB)
  • Proficient in building stream processing systems using Kafka
  • Familiar with data governance principles, ensuring data quality, security, and compliance
  • Experienced with cloud platforms such as AWS or GCP
  • Proficient in Python, SQL, dbt, Airflow, Airbyte, S3, Hudi, Athena, Kubernetes, and CI/CD processes
  • Familiar with self-service reporting and machine learning use cases and their prerequisites
  • Thrive in a fast-growing company


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