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azure terraform cloudformation aws etl📋 Description
- Manage discovery-to-scale data pipelines and storage for analytics and AI.
- Build data integration, storage, and infrastructure for analytics/AI.
- Autonomous role: set direction and influence multiple teams.
- Deliver tangible business results via rapid solution delivery.
🎯 Requirements
- Bachelor's degree in CS or Engineering; 8–12 years leading data projects.
- Enterprise Data Integration & Architecture: robust ETL/ELT pipelines.
- Cloud-native data ecosystems: AWS/Azure/GCP; IaC; CI/CD.
- Advanced Data Modeling across conceptual, logical, physical schemas.
- AI/MLOps readiness: integrate AI tools; data validation/governance for ML.
- Full-stack delivery: end-to-end data apps; rapid value; manage tech debt.
- SRE: define SLOs/SLIs; resilient data systems.
- Architectural Leadership: scalable components; well-tested code.
🎁 Benefits
- Challenging, rewarding work with real impact.
- Direct access to cutting-edge AI platforms.
- Diverse, inclusive culture and growth opportunities.
- Collaborative, innovative environment where ideas are valued.
- Exposure to exciting projects and high-profile clients.
- Hybrid working model.
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