IT Data Infrastructure Architect - VP
Core
Design and govern enterprise-scale data platforms ensuring data is accessible, trusted, secure, and optimized for analytics, machine learning, and AI-driven solutions.
Role type
VP-level Principal Infrastructure Production Management & Reliability Architect
Builds
Scalable, secure, and future-ready data platforms supporting analytics and AI
Domain
Financial services / Enterprise Data Infrastructure
Deliverable
production ML models
Required skills
Data architecture strategy, Data governance, Semantic layer design, Cloud-native solutions, Data quality enforcement, Infrastructure modernization, Regulatory compliance, Security frameworks, Enterprise architecture frameworks (TOGAF, Zachman), ETL processes
Preferred skills
LLM integration, Generative AI, Agentic AI, Cloud platforms (AWS, Azure, GCP), Infrastructure as Code (Terraform, Ansible), Observability (Splunk, Prometheus, Grafana)
Technologies
Snowflake, Databricks, Redshift, PostgreSQL, MongoDB, Collibra, Alation, Talend, Apache NiFi, Informatica, Jenkins, GitHub Actions
Responsibilities
Develop and execute data infrastructure architecture strategies and roadmaps, Drive data architecture and governance as Divisional Data Officer, Collaborate with teams building data lakes and warehouses, Implement semantic layers for governed data views, Oversee data quality processes, Recommend and implement cloud-native solutions, Conduct architecture reviews for regulatory alignment
Seniority
VP level, Principal, Strategic influence with hands-on delivery background
