Senior Data Engineering Lead - Vice President
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Job Description
Structured overview of role & requirementsAbout This Role
Lead and define the data engineering strategy and roadmap for Global Wealth Data, aligning it with business and technology objectives.
Manage and mentor a globally distributed team of data engineers to design and implement scalable data pipelines, warehouses, and lakes ensuring data quality and availability.
Oversee technology selection, data governance, and collaboration with business stakeholders to enable effective investment strategies and client reporting.
Minimum Requirements
10-15 years hands-on experience in big data frameworks: Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting.
4+ years experience with relational SQL and NoSQL databases such as Oracle, MongoDB, HBase.
Proficient in Python, Spark Java, Scala, and SQL with strong data integration, migration and ETL experience.
Bachelor’s degree in computer science, engineering, or a related domain.
Ideal Candidate Profile
Experienced leader in data engineering within financial services or wealth management sectors with strategic and technical expertise.
Strong background in large-scale data pipeline architecture and optimization in fast-paced, complex environments.
Demonstrates ability to collaborate across technical and non-technical stakeholders and deliver solutions that support investment and client reporting needs.