Oversee enterprise data platform architecture, data modeling and governance, combining hands-on technical leadership with architectural ownership of scalable, secure, and governed data platform solutions on AWS
Job Summary
Oversee enterprise data platform architecture, data modeling and governance, combining hands-on technical leadership with architectural ownership of scalable, secure, and governed data platform solutions on AWS.
Design, implement, and evolve event-driven and real-time data streaming architectures, defining and enforcing best practices for data access, storage, and processing across analytical and operational use cases.
Collaborate with data engineers, analysts, and business stakeholders to deliver data-driven solutions, establishing and enforcing data governance standards including metadata management and cataloging.
Matching Summary
Oversee enterprise data platform architecture, data modeling and governance, combining hands-on technical leadership with architectural ownership of scalable, secure, and governed data platform solutions on AWS.
Skills & Requirements
Must-have
AWS native services expertise
Data modeling across domains
Event driven and real time data streaming
Data quality and integrity frameworks
Data governance standards implementation
Monitoring and alerting design
Nice-to-have
Agentic AI or AI driven data ingestion
Modern dev ops practices
People-first company culture
Key Requirements
11+ years in software engineering or relevant IT experience
Strong knowledge of data architecture patterns
Hands-on expertise with AWS services
Proven experience designing and operating enterprise scale data platforms on AWS
Solid experience with data modeling
Strong understanding of event driven architectures
Working knowledge of networking fundamentals and IAM