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Citi is seeking a highly skilled Big Data Architect to lead the design and implementation of large-scale data solutions. The ideal candidate will have deep expertise in designing, architecting, and managing distributed big data systems, leveraging technologies such as Apache Spark, Hive, and Starburst.
This role requires strong hands-on coding skills, as well as experience working with cloud-based platforms and cloud-native big data services. The successful candidate will be responsible for architecting scalable data pipelines, designing efficient data storage architectures, and ensuring high-performance data processing workflows.
The Big Data Architect will work closely with cross-functional teams, including data engineers, analysts, and business stakeholders to deliver innovative big data solutions. This includes building and optimizing ELT/ETL pipelines, implementing data retention policies, and ensuring compliance with regulatory standards.
Key Responsibilities:- Big Data Architecture Design: Architect and design large-scale, distributed big data solutions using Spark, Hive, Starburst, and other big data technologies.
- Data Storage Architecture: Implement and maintain data retention strategies and architectures that support cold, warm, and hot data storage tiers.
- Scalable Data Solutions: Build and optimize scalable data pipelines to process structured, semi-structured, and unstructured data.
- Experience: 7+ years of experience in data architecture, with a strong focus on big data platforms and distributed data processing technologies.
- Big Data Technologies: Extensive hands-on experience with Apache Spark, Hive, Starburst, and related big data frameworks for distributed data processing and analytics.
- Cloud Platforms: Experience working with cloud-based platforms (e.g., AWS, Google Cloud, Azure) and cloud-native big data services (e.g., Databricks, BigQuery, Redshift, S3, GCS, etc.).