This role pays more than
69%
of similar roles. Most pay
$157,200–$235,750
— the shaded band above.
At the midpoint, this role pays about
$221k
versus about
$196k
for comparable roles.
Based on 240 similar postings.
Employer
About Citi
Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.
Citi currently has
397 open roles
on FindRole.
Listed pay typically runs
$125,760–$188,640
across 367 roles with salary data.
The senior data architect or lead data engineer role within the Data Services team focuses on building and managing large-scale data infrastructure for Generative AI and Machine Learning initiatives. This position involves designing a comprehensive data ecosystem including data lake/lakehouse architecture with technologies like AWS S3, Azure Data Lake Storage, and Google Cloud Storage, as well as implementing federated querying using Starburst (Trino) to enable seamless data access across various sources. Daily tasks include developing high-throughput data pipelines using Apache Spark for batch processing and Apache Flink with Kafka for real-time stream processing, ensuring scalability, low latency, and reliability. Additionally, the role entails establishing robust data governance frameworks for quality assurance, provenance tracking, and security compliance, while also mentoring junior engineers and fostering cross-functional collaboration to drive innovation in AI solutions. Required skills include expertise in big data technologies such as Apache Spark, Flink, Kafka, Trino, and cloud services like AWS S3 and Glue, along with strong programming proficiency in Python, SQL, Scala/Java, and leadership capabilities for strategic project management.