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Tier-1 brand and metro location increase competition, but senior specialized director role limits applicant density.
Core data platform and cloud skills are transferable, though fintech governance adds moderate domain specificity.
Explicit 12+ years plus extensive mandatory cloud, data platform, and leadership requirements imply strict filters.
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Own design and implementation of scalable, secure, cloud-native data platforms across AWS and Azure, including Lakehouse architectures and data engineering pipelines.
Lead and mentor global teams of data and platform engineers, driving DevOps initiatives and enforcing data governance, security, and best practices.
Translate business needs into technical solutions while managing architecture decisions, stakeholder collaboration, and platform performance optimization.
12+ years of experience in cloud and data platform architecture, DevOps, or related technical roles.
Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
Hands-on expertise with AWS and Azure services such as S3, Glue, Redshift, Lake Formation, Azure Data Factory, Synapse, and Databricks.
Experience building CI/CD pipelines and infrastructure-as-code using tools like Terraform, CloudFormation, ARM templates, Azure DevOps, or GitLab CI/CD.
Experienced leader with proven ability to guide cross-functional global engineering teams in cloud data platform projects.
Strong practitioner comfortable with hands-on architecture, DevOps, and enforcing cloud security and data governance frameworks.
Strategic thinker who applies deep technical knowledge of medallion Lakehouse architectures, data engineering frameworks (e.g., Spark), and multi-cloud environments to deliver scalable, compliant solutions.