Data Platform Architect
hace 1 mes
Ebury is a leading FinTech firm, named as one of the top 15 European Fintechs to work for by AltFi. We offer a range of innovative products including FX risk management, trade finance, currency accounts, international payments and API integration.
As a Data Platform Architect at Ebury, you will play a key role in developing and maintaining our Data Warehouse and serving it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers, and Data Analysts work collaboratively to drive business growth.
Responsibilities:
We are seeking an experienced Data Platform Architect to join our growing team in Madrid. Your main responsibilities will include:
1. Establishing performance monitoring to track the speed and efficiency of data processing and analysis, and addressing bottlenecks or slowdowns as needed.
2. Participating in data modelling reviews and discussions to validate the model's accuracy, completeness, and alignment with business objectives.
3. Working on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs.
4. Helping to implement data governance policies, including data quality standards, data access control, and data classification.
5. Collaborating with data scientists, analysts, and stakeholders to understand data requirements and translate them into platform capabilities.
6. Automating data ingestion, transformation, testing, and integration processes to enhance data accessibility and data quality.
7. Evaluating and integrating new data tools and technologies to continuously improve the platform's capabilities.
8. Creating and maintaining detailed documentation on platform architecture, data flows, and operational processes.
9. Collaborating with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
Requirements and Qualifications:
We are looking for a skilled Data Platform Architect with a strong focus on building and optimizing data platforms. The ideal candidate will have:
1. 3+ years of experience as a Data Engineer or in a similar role. Proficiency in SQL and Python is required.
2. Strong knowledge of Google Cloud Platform, Apache Airflow, Docker, dbt, Looker, and Jira.
3. Excellent problem-solving skills, with the ability to troubleshoot complex issues and optimize system performance.
4. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
What We Offer:
We offer a competitive salary of €80,000 per year, plus benefits such as a generous allowance to take annually paid time off, equity process through a performance bonus, continued personal development through training and certification, and being part of a diverse technology team that cares deeply about culture and best practices.
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