Senior Data Architect

Paysafe Limited (“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 25 years of online payment experience, an annualized transactional volume of $140 billion in 2023, and approximately 3,200 employees located in 12+ countries, Paysafe connects businesses and consumers across 260 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 currently seeking a skilled Data Architect with data modeling experience to join the Data Engineering team. The ideal candidate will have a strong foundation in data architecture, with a keen ability to design, implement, and manage data models that support our organization's needs. This role involves collaborating with data scientists, analysts, and IT team members to ensure our data structures are optimized for efficiency, scalability, and reliability.

What to expect:

• Develop and maintain conceptual, logical, and physical data models that align with business objectives and data governance standards.
• Design and implement data models that effectively support business processes and decision-making.
• Collaborate with stakeholders to understand business requirements and translate them into data models.
• Optimize data architectures for both operational and analytical purposes to improve performance and scalability.
• Deliver working solutions including data pipelines, worksheets, snowflake environments, Snow SQL, and Python automation code as required as an individual contributor while also providing leadership and best practices to other team members following your design and development best practices.
• Provide solid data modeling and architecture best practices for modern data warehousing solutions, including leveraging traditional Kimball/Inmon best practices where necessary along with Data Vault and similar approaches where possible.
• Ensure data integrity and quality by developing and implementing data governance and validation processes.
• Stay abreast of industry trends and advancements in data modeling techniques and technologies, recommending improvements to our practices as appropriate.
• Work closely with data engineers and IT personnel to implement and refine data models within our data warehousing and business intelligence environments.
• Provide technical guidance and support to team members on best practices in data modeling and data architecture.
• Must be proficient in Oracle and SQL coding (with recent experience) –Minimum of 5 years.
• Must be proficient in OLTP/3NF (Online transaction processing, 3rd normal form) as well as dimensional/data mart modeling (star schema, snowflake) – Minimum of 5 years.
• Must be proficient in data analysis and SQL skills – Minimum of 5 years.
• Experience with SDLC / Scaled agile delivery frameworks for data warehouse projects – minimum of 5 years.
• Experiences in Data modeling in Snowflake Database, Oracle Database, and in Salesforce
• Experience in Snowflake database profiling, creating, advising and reviewing data models for our data warehouse as well as data mart areas.
• Should be able to provide design of the table structures with proper data analysis and mapping capabilities.
• Will be responsible for changing, maintaining the data models and be able to work closely with the business team to understand the requirements and provide guidance on the design to the development team.
• Maintain documentation of data models, data dictionaries, and related metadata to ensure clarity and consistency across the organization.
• Should be able to assist both developers and testers to ensure that data processing is accurate, efficient, and complete.
• Should be able to prioritize work activities to meet the timelines.

To be successful you need to have:

• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
• Proven experience as a Data Modeler or in a similar role, with a strong portfolio of data architecture and modeling projects.
• Proficient in data modeling tools and technologies, with a deep understanding of relational and non-relational database systems.

• Strong analytical skills with the ability to solve complex problems and translate business requirements into technical solutions.
• Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
• Familiarity with data governance, data quality management, and data security practices.
• Knowledge of SQL, NoSQL, ETL processes, and business intelligence platforms.

We offer in return:

• The opportunity to write the history of a leading and growing multinational company

• Tailor-made training and ongoing development to help you enhance your skills in the field of online payments
• Multiple career progression opportunities in a dynamic in-house business
• Environment where product expertise, professional and personal commitment are rewarded
• Competitive 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 atmosphere
• Flexible working model - we encourage our employees to embrace our flexible working approach. You will be expected to work from home and spend an average of three days a week at our Sofia office as part of our hybrid work model.

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.

Wondering how our interview process looks like now? Learn more here:https://bit.ly/paysafeinterviews

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.