Senior Data Engineering Lead - Vice President
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Job Description
Structured overview of role & requirementsAbout This Role
Define and execute the data engineering roadmap for Global Wealth Data, aligning with business objectives and technology strategy.
Lead and develop a global team of data engineers, fostering collaboration and innovation.
Oversee design and implementation of scalable data pipelines, warehouses, and lakes ensuring data quality, security, and compliance for wealth management data.
Minimum Requirements
10-15 years hands-on experience with big data frameworks including Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting.
4+ years experience with relational and NoSQL databases such as Oracle, MongoDB, HBase.
Bachelor’s degree or equivalent in computer science, engineering, or related field.
Work Experience Required: 10-15 years in relevant technologies and data engineering roles.
Ideal Candidate Profile
Proven experience leading technology strategy and large, globally distributed data engineering teams in financial services or wealth management.
Strong technical expertise in big data architectures and pipeline optimization targeting large, structured and unstructured datasets.
Ability to collaborate effectively with business stakeholders, data scientists, and technology teams to deliver compliance and performance-focused data solutions.