Architect

Order Type : Temp To Full-Time

Job Summary: We are looking for a seasoned Data Architect to design and implement scalable, high-performance data frameworks for analytics and real-time processing. The ideal candidate will have over 10 years of experience in data architecture, particularly within fintech or financial services, with a strong background in large-scale financial applications or payments solutions. You will be pivotal in optimizing our data infrastructure and ensuring data integrity, security, and accessibility. Key Responsibilities: • Data Architecture Design: Develop scalable, flexible, and secure data architectures. Create and maintain data models, schemas, and warehouses. • Data Strategy & Roadmap: Collaborate with leadership to define data strategy, drive data integration, and streamline processes. • Data Governance & Compliance: Implement and enforce data governance policies, ensuring data quality, privacy, and regulatory compliance. • Optimization & Performance Tuning: Continuously monitor and optimize data architectures for performance and cost-efficiency. • Collaboration with Engineering Teams: Work closely with data engineers, scientists, and software engineers to align on data needs and best practices. • Technology & Tool Selection: Evaluate and implement data management, storage, and processing technologies. Required Qualifications: • 10+ years in data architecture, data engineering, or related fields within fintech, finance, or technology. • Proven experience with data modeling, ETL/ELT processes, and database systems (e.g., SQL, NoSQL, Oracle, PostgreSQL, MongoDB). • Extensive experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). • Proficient in designing and maintaining data warehouses (e.g., Snowflake, Redshift) and familiar with BI tools (e.g., Tableau, PowerBI). • Knowledgeable in data governance practices, privacy regulations (GDPR, CCPA), and security best practices. • Strong problem-solving skills and ability to analyze complex data requirements. • Excellent communication skills and ability to work cross-functionally. • Preferred Qualifications: • Certifications in data architecture or cloud (e.g., AWS Certified Data Analytics, Microsoft Certified Azure Data Engineer). • Familiarity with machine learning and AI concepts. • Proficiency in Python, R, or other data-related programming languages.