Senior Data Architect, Beacon Platform

• The ideal candidate will have at least 10 years of experience in data architecture, especially within fintech or financial services, with deep expertise in designing data solutions that support large-scale financial applications
• Experience: 10+ years of experience in data architecture, data engineering, or related field within the fintech, finance, or technology sector
• Technical Expertise: Proven experience with data modeling, ETL/ELT processes, and database management systems (e.g., SQL, NoSQL, Oracle, PostgreSQL, MongoDB)
• Big Data & Cloud Proficiency: Strong experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure)
• Data Warehousing & BI: Experience designing and maintaining data warehouses (e.g., Snowflake, Redshift) and familiarity with BI tools (e.g., Tableau, PowerBI)
• Data Governance & Security: Knowledge of data governance practices, data privacy regulations (GDPR, CCPA), and data security best practices
• Analytical Skills: Strong problem-solving skills with the ability to analyze complex data requirements and propose effective solutions
• Collaboration: Excellent communication skills with a proven ability to work cross-functionally with data scientists, engineers, and business stakeholders

Desirable

• We are seeking an experienced Data Architect to design and implement robust data frameworks that support scalable, high-performance analytics and real-time data processing
• You will play a key role in optimizing our data infrastructure and ensuring data integrity, security, and accessibility
• Design and implement a scalable, flexible, and secure data architecture to meet current and future business needs
• Develop and maintain data models, database schemas, and data warehouse solutions for efficient storage, processing, and retrieval
• Collaborate with executive leadership and cross-functional teams to define data strategy, aligning it with business goals
• Drive data integration strategies to bring together data from multiple sources and streamline processes
• Establish and enforce data governance policies to ensure data quality, privacy, and security in compliance with industry regulations (e.g., GDPR, SOC 2)
• Implement metadata management, data lineage, and data cataloging processes
• Continuously monitor and optimize data architectures for performance, scalability, and cost-effectiveness
• Conduct regular reviews of database performance, tuning databases, and optimizing queries to ensure high performance
• Work closely with data engineers, data scientists, and software engineers to ensure alignment on data needs and best practices
• Guide teams on data architecture and storage solutions, including data lakes, data warehouses, and real-time processing pipelines
• Evaluate and recommend data management, storage, and processing technologies that align with company goals
• Oversee implementation of data infrastructure tools and platforms, such as cloud storage, big data tools, ETL/ELT processes, and data visualization tools