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Metro location, broad data/AWS skillset, and a well-known bank brand increase applicant competition.
Core cloud data engineering skills are transferable, but banking regulatory and governance needs increase domain specificity.
VP seniority plus mandatory AWS, streaming, Terraform, DataOps skills enforce strict technical filters.
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Own the design, development, and automation of scalable data engineering pipelines using AWS cloud-native services for batch and real-time streaming workloads.
Drive adoption of data quality frameworks, data lineage, metadata management, and compliance to ensure accurate, secure, and transparent data solutions.
Deliver cost-effective data platform operations aligned to business targets and collaborate cross-functionally to enhance data & analytics platform scalability and reliability.
Experience in data engineering with hands-on expertise in AWS cloud-native services and modern data engineering frameworks.
Proficiency in building and automating data pipelines supporting both batch and streaming data ingestion and transformation.
Strong knowledge of DevOps/DataOps including CI/CD, automated testing, deployment, and Infrastructure as Code (e.g., Terraform).
Work Experience Required: Not explicitly mentioned in the JD
Experienced at architecting complex data solutions focusing on customer-centric outcomes in a large or enterprise-level environment.
Capable of driving cross-team collaboration involving architecture, engineering, and business stakeholders to evolve data platforms.
Proficient in applying governance, security, and cost management in cloud-based data engineering contexts.