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Senior level position responsible for establishing and implementing canonical data architecture and drive data governance in coordination with the Technology Team. The overall objective is to lead data analysis and programming activities for suite of applications across Investor Services and also drive standardization and modernization of Data strategy and architecture across Services.
Job Responsibility:
Design & implement Spark, Hive, Scala pipelines using Medallion model
Architect data integration across custody platforms
Embed automation in metadata, data dictionary, data catalogues, and quality checks
Ensure reliability, cost optimization, and data governance
Mentor engineers and stay hands-on with architecture reviews
Ensure application design adheres to the overall architecture blueprint
Develop and enforce standards for coding, testing, debugging, and implementation
Conduct code reviews
Collaborate with cross-functional teams
Implement and promote DevOps practices
Utilize Openshift for container orchestration
Manage source code using GitHub
Requirements:
Bachelor’s or Master’s in CS, Data Engineering, or related field
12+ years in data engineering
5+ in financial services (Custody preferred)
Big Data Engineering: Hive, Spark, Scala, Delta Lake, performance tuning
Data Architecture: Medallion, DataMesh, multi-zone Data Lake
GenAI for Data: metadata, test data, code gen, lineage
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