Vice President, Data Engineering
Core
Design and implement modern, scalable, and secure cloud-native data and AI platforms across AWS and Azure to unlock the potential of data assets.
Role type
Vice President, Data Engineering
Builds
Data Commercialization Platform (DCP) on public cloud and on-premise
Domain
Payments / Big Data / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Cloud architecture (AWS/Azure), DevOps, Infrastructure-as-Code, Data Governance, Medallion Architecture, CI/CD, Container Orchestration, Cost Optimization, MLOps
Preferred skills
AI Agents, Observability stacks, Agile methodologies
Technologies
S3, Azure Data Lake, Databricks, Glue, Lake Formation, Azure Purview, Terraform, CloudFormation, ARM templates, Azure DevOps, GitLab CI/CD, Spark, PySpark, Flink, Docker, Kubernetes, ECS, AKS, CloudWatch, Azure Monitor, ELK
Responsibilities
Design and architect end-to-end cloud-native solutions; Lead by doing – drive DevOps initiatives including CI/CD and IaC; Set and enforce cloud security best practices; Establish enterprise-grade data governance frameworks; Design and lead implementation of robust data engineering pipelines; Mentor and guide engineers and DevOps teams; Continuously monitor, troubleshoot, and optimize infrastructure and data workflows.
Seniority
Executive, strategy & mentorship