Paysafe ("Paysafe") (NYSE: PSFE) (PSFE.WS) is a leading payments platform with an extensive track record of serving merchants and consumers in the global entertainment sectors. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With over 20 years of online payment experience, an annualized transactional volume of over $130 billion in 2022, and approximately 3,300 employees located in 12+ countries, Paysafe connects businesses and consumers across 100 payment types in over 40 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments.

　　Further information is available at www.paysafe.com.

　　We are looking for a Senior Cloud Data Architect to join our team. On this role you would be responsible for managing Data Architecture aspects across the organization, with a focus on Cloud technology and tools. You would define the logical data models and flows together with Product and business stakeholders and collaborate closely with Data Engineering to establish the proper technical Data Architecture for the implementation. Moreover, you would own the Data Architecture roadmap and actively participate in the overall definition and execution of the Paysafe Data Strategy. You would organize and participate in PoC and new tools evaluation necessary to evolve the Data Architecture.

　　What you will do:

　　Develop architectural strategies for data modelling, design and implementation to meet stated requirements for Data Lake, Data Warehouses, Data pipeline (ETL and ELT), metadata and master data management.Analyze business requirements, designing scalable/ robust data models, documenting conceptual, logical & physical data model design, helping developers in development/ creating DB structures and supporting developers throughout the project life cycle.Lead and Mentor Data Engineers: This role will be responsible for mentoring and supporting a team of data engineers focused on the growth in the team's skills and ability to execute as a team using DevOps and Data Ops principles.Investigate new technologies, data modelling methods and information management systems to determine which ones should be incorporated into data architectures and develop implementation timelines and milestones.Recognize and resolve conflicts between models, ensuring that information and data models are consistent with the ecosystem model (e.g., entity names, relationships and definitions).Participate in the design of the information architecture: supports projects, reviews information elements including models, glossary, flows, data usage.Contribute as an expert to multiple delivery teams, defining best practices, building reusable design & components, capability building, aligning industry trends and actively engaging with wider data communities.

　　To be successful you need to have:

　　Graduate or post graduate in Computer science/Electronics/Software engineering.6+ years of relevant experience in Data modelling for DW & analytics applications (OLAP) / Database related technologies.Expert data modelling skills (i.e. conceptual, logical and physical model design, experience with Enterprise Data Warehouses and Data Marts).Solid understanding of cloud database technologies and services (eg..AWS, Snowflake, Redshift, Aurora, DynamoDB, Athena, S3 etc).Experience in working with data governance, data quality, and data security teams.Experienced in knowledge-driven data processing techniques like data curation, representation, standardization, normalization and any other type of processing that prepares the data for integration, persistence, analysis, exchange/share and so forth.Experience in handling very large DBs and large data volumes.Strong experience in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. These should include ETL/ELT, data replication/CDC, message-oriented data movement and upcoming data ingestion and integration technologies such as stream data integration.Knowledge with popular data discovery, analytics, and BI software tools like Tableau, Power BI and others for semantic-layer-based data discovery.Experience with Python, R and machine learning is a plus.Strong communication and presentation skills. Fluent in English.

　　We offer in return:

　　The opportunity to write the history of a leading and growing multinational companyTailor-made training and ongoing development to help you enhance your skills in the field of online paymentsMultiple career progression opportunities in a dynamic in-house businessEnvironment where product expertise, professional and personal commitment are rewardedCompetitive remuneration and social benefits package (25 days annual paid leave, health insurance, sports card, team events, company discounts, variety of soft skills, business and technical training programs)Fun and collaborative working atmosphereWe design our own flexible working model by combining working from home with office collaboration days

　　With offices in Canada, USA, EU, and the UK, Paysafe offers individuals an opportunity to join a fast-moving global company with energy, passion and drive, committed to developing world-class online financial solutions.

　　We take pride in our employees and offer excellent remuneration and benefits, as well as a positive, rewarding and fun work environment.

　　Are you ready to take your career to the next level? Join our team that is inspired by a unified vision and propelled by passion

　　Send your CV in English.

　　Only shortlisted candidates will be contacted for an interview.

　　Equal Employment Opportunity

　　Paysafe provides equal employment opportunities to all employees, and applicants for employment, and prohibits discrimination of any type with regard to ethnicity, religion, age, sex, national origin, disability status, sexual orientation, gender identity or expression, or any other protected characteristics. This policy applies to all terms and conditions of recruitment and employment. If you need any reasonable adjustments, please let us know. We will be happy to help and look forward to hearing from you.