Data Architect

We are seeking a highly skilled and experienced Data Architect (DA) to fill a foundational role in a newly formed group concentrating on Data. This role requires strategic thinking, technical leadership, and deep expertise in best practices for the design and implementation of complex data architectures on modern, cloud-native platforms. The DA will partner closely with Data Engineers and Data Stewards to ensure our data assets are comprehensive, logically organized, and of high quality., * Design and implement scalable data architectures on Microsoft Azure

• Proactively maintain data models and schemas to ensure alignment with evolving business needs
• Ensure consistent representation of borrowers, counterparties, exposures, and assets
• Work with Data Engineering to help optimize data pipelines, storage patterns, and query performance
• Provide strategic advice on long-term data strategy, We occasionally collaborate with recruitment agencies to fill niche or specialist roles. However, we do not accept agency terms or pay fees for speculative CVs submitted directly to our hiring managers or outside our Applicant Tracking System. If you are a recruitment agency interested in partnering with us for candidate supply, please reach out to recruitment@arrowglobal.net     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.

Do you have experience in SQL?, * Degree in Computer Science, Information Systems, Data Science, or a related field is preferable

• Proven experience unifying disparate datasets into a relational data model
• A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
• Strong understanding of loan lifecycle data, including servicing, arrears, recoveries, and asset resolution
• Exposure to real estate operating platforms, loan servicing systems, or collections platforms
• Expert proficiency in developing conceptual, logical, and physical data models
• Hands-on experience with SQL and modern, cloud-native data platforms (Synapse, Snowflake)
• Resourceful, motivated self-starter with the ability to collaborate across business and technology
• Strong analytical, verbal, and written communication skills