Über
The ideal candidate brings strong technical depth in distributed data systems, hands on experience with streaming and batch pipelines, and a solid understanding of trade lifecycle, market data, and regulatory compliance. You will work closely with trading desks, product teams, AI/analytics teams, and architects to deliver reliable, secure, and high performance data solutions. Job Title: Senior Data Engineer / Data Architect – Capital Markets
Location: San Diego, CA
Domain: Financial Services – Capital Markets / Trading Systems
Required Qualifications:
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7–12+ years of experience in data engineering, backend engineering, or distributed systems
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Strong programming expertise in Python, Scala, and/or Java
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Advanced SQL skills and hands on experience with distributed data processing frameworks such as Apache Spark or Apache Flink
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Extensive experience with streaming platforms including Kafka, Kinesis, or Pulsar
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Hands on experience with data lake and data warehouse technologies such as Databricks, Snowflake, Amazon Redshift, or similar platforms
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Proven experience building real time or near real time data pipelines
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Strong understanding of data modeling, distributed systems, scalability, and performance optimization Preferred Qualifications
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Experience in Wealth Management or Capital Markets trading systems
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Familiarity with OMS/EMS platforms such as Charles River Development (CRD), Aladdin, FIS, or similar systems
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Strong knowledge of market data across equities, fixed income, derivatives, and other asset classes
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Understanding of the trade lifecycle, including order capture, execution, allocation, clearing, and post trade processing
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Experience with cloud native data platforms on AWS, Azure, or GCP
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Exposure to real time analytics, risk management systems, and regulatory reporting platforms
Sprachkenntnisse
- English
Hinweis für Nutzer
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