Data Architect

Berlin

Unlimit

One-stop-shop to facilitate the launch, experience, and growth of your business. Leverage 1000+ unique local and global payment methods for a borderless approach.

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About Unlimit Founded in 2009, Unlimit is a global fintech company with 16 offices all over the world and more than 500 employees, that offers a large portfolio of financial services - from acquiring (payment processing) to banking as a service. Our mission is to be “ready for tomorrow” and to provide our customers with a sense of stability in the everchanging financial landscape and an opportunity to be prepared for whatever the tomorrow of business brings their way, so that while others observe, they can already take an advantage.

We are looking for a highly skilled and experienced Data Architect to join our team. In this role, you will have the opportunity to build a state-of-the-art data infrastructure from the ground up using modern technologies. The ideal candidate is deeply passionate about data and analytics, with a proven track record in data strategy, architecture, and implementation.

Key Responsibilities:

  • Develop and execute a comprehensive data strategy and architecture for our fintech platform and analytics.
  • Design and construct scalable data platforms and pipelines to accommodate our expanding business requirements.
  • Implement ETL data flows and pipelines to ensure seamless data integration.
  • Utilize contemporary data architecture patterns such as Data Fabric, Data Mesh, and MicroServices to enhance flexibility and scalability. And understanding of advantages and disadvantages of each pattern adopting to current and future context of the organization and its infrastructureCollaborate closely with business leaders to identify data opportunities and facilitate insights-driven decision-making.
  • Define conceptual, logical, and physical data models aligned with business objectives.
  • Stay updated on the latest trends and advancements in data and analytics, continuously seeking avenues for innovation and enhancement.

Qualifications:

  • Bachelor's degree in Sciences, IT, Computer Sciences, Statistics, or equivalent; Master's degree preferred.
  • 5-10 years of hands-on experience in data strategy, data architecture, or related roles, with a focus on the fintech sector.
  • Proven expertise within several fields and capability to gain necessary competence in a new one: data strategy, modern data platform architecture, data modeling, data governance, Business Intelligence, Big Data, reporting & data warehousing, AI, and Machine Learning.
  • Strong understanding of data architecture patterns, data modeling techniques, and data governance principles especially Data Mesh and proven experience of implementing solution based on these principles.
  • Proficiency with ETL tools and data integration platforms.
  • Familiarity with Oracle, Postgres, Aurora, Hadoop ecosystem (Spark, Kafka, etc.), Elastic stack, and NoSQL databases (MongoDB, DocumentDB, DynamoDB etc.).
  • Familiarity with AI technologies and their adoption above the data infrastructure including challenges and pros and cons for different AI platforms/technologies.
  • Experience working with cloud platforms, particularly AWS and underlying technologies like k8s, docker, istio, etc. 
  • Exceptional communication and presentation skills, with a proven ability to collaborate effectively across cross-functional teams.
Join Unlimit Team now!
Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  3  0  0
Category: Architecture Jobs

Tags: Architecture AWS Banking Big Data Business Intelligence Data governance Data strategy Data Warehousing Docker DynamoDB ETL FinTech Hadoop Kafka Kubernetes Machine Learning Microservices MongoDB NoSQL Oracle Pipelines PostgreSQL Spark Statistics

Region: Europe
Country: Germany

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