
Senior Data Architect for Payments and Financial Systems
6 days ago
Key Responsibilities:
- We are seeking a highly skilled Senior Data Architect to lead the design and implementation of high-performance data platforms for our financial systems, handling petabyte-scale daily transaction data across ingestion, storage, and computation layers.
- The successful candidate will architect cloud-native data warehouses on AWS, incorporating Spark and Flink to support batch and streaming use cases with millisecond-level latency for payment data insights.
- This role requires collaboration with business units to develop data masking and auditing mechanisms compliant with PCI DSS and regulatory standards.
- The ideal candidate will develop dashboards for data-driven decision-making across business functions, integrating diverse payment systems for consistent, reliable, and scalable data flow across platforms.
- They will own the full data pipeline, ensuring high data quality, consistency, and accessibility.
- The successful candidate will drive data standardization, automation, and seamless access to clean datasets across teams.
- Collaboration with compliance, risk, and product teams in a regulated environment is crucial.
Required Skills and Qualifications:
- Minimum 5 years of experience in data engineering or data warehouse development, with a strong track record of building scalable data platforms.
- Expertise in big data ecosystems, particularly Hadoop, Spark, and Flink, with deep knowledge of performance optimization techniques.
- Proficient in dimensional data modeling, ETL development, and data governance best practices.
- Industry experience in payments, fintech, or internet platforms is highly desirable; familiarity with payment data structures is advantageous.
- Strong interpersonal and communication skills, with the ability to work cross-functionally with stakeholders.
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