JPMorgan Senior Lead Data Engineer - SaaS Intelligence 

United States, Texas, Plano 

5978935

Job responsibilities

• Provides recommendations and insight on data management, governance procedures, and intricacies applicable to the acquisition, maintenance, validation, and utilization of data​​
• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
• Defines database back-up, recovery, and archiving strategy
• Generates advanced data models for one or more teams using firmwide tooling, linear algebra, statistics, and geometrical algorithms
• Approves data analysis tools and processes​
• Creates functional and technical documentation supporting best practices​​
• Advises junior engineers and technologists
• Evaluates and reports on access control processes to determine effectiveness of data asset security​
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on Engineering and/or Cybersecurity concepts and 5+ years applied experience as a cloud engineer, deployment engineer, DevOps engineer, or equivalent role that involves deploying enterprise software to public cloud platforms.
• Strong coding skills in languages commonly used in security applications, such as Python, Java, or C++
• Expert level experience with data engineering tools such as Apache Kafka, Apache Spark, and ETL processes.
• Experience is integrating security practices into the SDLC, including threat modeling, code reviews, and security testing.
• Deep understanding of cloud security frameworks and SaaS architecture, including AWS, Azure, or Google Cloud security features.
• Experience with security protocols such as TLS/SSL, OAuth, SAML, and OpenID Connect.
• Advanced knowledge of linear algebra, statistics, and geometrical algorithms
• Experience presenting and delivering visual data