
Chief Data Solutions Architect
3 days ago
Key Responsibilities:
- Design and develop a data lakehouse solution using Apache Iceberg and Apache Spark.
- Enable high-performance Treasury analytics, integrating financial datasets and reporting engines.
- Work with AWS services to create secure and scalable infrastructure.
- Use Docker and containerized workflows to ensure smooth deployment and team collaboration.
- Collaborate with Treasury SMEs and other engineers to translate functional goals into technical execution.
Required Skills and Qualifications:
- 8+ years in data engineering, including domain exposure to Treasury or finance.
- Deep expertise with Apache Spark, Iceberg, ETL frameworks, and distributed computing principles.
- Strong experience with AWS services for data orchestration and transformation.
- Solid grasp of Docker-based environments and cross-team development practices.
- Bonus: Experience with data lakehouse related technologies such as AWS Glue, Nessie, or Trino.
- Bonus: Familiarity with financial instruments, liquidity models, or regulatory requirements.
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