Data Architect - Affinity Reply
Role details
Job location
Tech stack
Job description
their business and data strategy. You'll be responsible for translating business requirements into technical solutions, ensuring the architecture is aligned to business goals while considering regulatory compliance. ESSENTIAL SKILLS & EXPERIENCE Demonstrate a strong understanding of the Financial Services Industry and how a well-designed data architecture can help organisations meet their business objectives Demonstrate extensive knowledge of data architecture principles, including designing scalable, efficient, and secure data systems Expertise in designing and implementing data warehousing solutions, data lakes, and ETL processes, specifically for financial services data Proficiency in data modelling, both logical and physical, familiarity with data normalization and denormalization techniques is essential Strong understanding of cloud-based data solutions and experience with platforms like AWS, Azure, Google Cloud, Snowflake Knowledge of advanced analytics tools, this includes
Requirements
creating dashboards, reports, and analytics that provide actionable insights Knowledge of data governance, data quality management, and data security best practices, with an emphasis on adhering to regulatory standards specific to financial services About the candidate: Strong understanding of cloud-based data solutions and experience with platforms like AWS, Azure, Google Cloud, Snowflake Proficiency in data modelling, both logical and physical, familiarity with data normalization and denormalization techniques is essential Demonstrate a strong understanding of the Financial Services Industry and how a well-designed data architecture can help organisations meet their business objectives Excellent communication skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and business leaders in the financial services industry. This includes aligning data architecture with organizational objectives and leveraging data for strategic decision-making Experience with Data Quality Rules, DQ Dimensions and hands on experience of triaging and resolution processes A proactive approach to staying updated with emerging technologies, trends, and best practices in data architecture and Microsoft technologies, applying this knowledge to innovate and enhance data-driven strategies in financial services Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.