Data Platform Architect - Real-Time Trading Data

Longbridge; Dallas (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A financial technology firm is seeking a Data Engineer to design and build data warehouses for the US market. You will develop ETL pipelines, collaborate across teams, and maintain data platforms. The ideal candidate has 7+ years of data engineering experience, proficiency in the Hadoop ecosystem, and a Bachelor's degree in related fields. This role offers an opportunity to work in a fast-moving environment and requires proficiency in Mandarin and English for international collaboration.

Qualifications

• 7+ years of data engineering experience with a proven track record in data platform/data warehouse projects.
• Solid understanding of data warehouse modeling and ETL performance optimization.
• Experience with open-source data platform development.

Responsibilities

• Design and build batch/real‑time data warehouses to support the US market growth.
• Develop efficient ETL pipelines to optimize data processing performance.
• Maintain and develop enterprise data platforms for the US market.

Skills

Data engineering experience

Hadoop ecosystem (Hive, Kafka, Spark, Flink)

SQL

Programming language (Python/Java/Scala)

AWS/cloud platforms

Docker

Kubernetes

Cross-department collaboration

Proficiency in Mandarin

Proficiency in English

Education

Bachelor's degree in Computer Science, Data Science, Statistics, or related fields

Tools

DolphinScheduler

SeaTunnel

MySQL

PostgreSQL

Job description

A financial technology firm is seeking a Data Engineer to design and build data warehouses for the US market. You will develop ETL pipelines, collaborate across teams, and maintain data platforms. The ideal candidate has 7+ years of data engineering experience, proficiency in the Hadoop ecosystem, and a Bachelor's degree in related fields. This role offers an opportunity to work in a fast-moving environment and requires proficiency in Mandarin and English for international collaboration.