Data Engineering Architect - Evinova
Core
Design, implement, and optimize robust cloud-based data lakehouse, catalogues, pipelines, and operational frameworks to enable rapid innovation and system reliability for a healthtech platform.
Role type
Senior Data Engineering Architect (Cloud & Data Foundation)
Builds
Scalable data foundation, streaming pipelines, and operational frameworks for data science and AI agents.
Domain
Healthtech / Life Sciences / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
AWS Data Services (Lake Formation, Glue, Athena, EMR/Redshift), Open Table Formats (Iceberg/Delta Lake), Streaming (Kinesis/MSK), Infrastructure as Code (AWS CDK/CloudFormation), Data Modelling (Dimensional/SCD), Governance & Security, Python/PySpark, Mentorship, Cross-functional Collaboration
Preferred skills
Advanced AWS CDK constructs, Prometheus/Grafana monitoring, Multi-tenant SaaS patterns, AI/ML frameworks
Technologies
AWS (Glue, Kinesis, Athena, Redshift, EMR, Lambda, EKS, S3, DynamoDB, EventBridge), Apache Iceberg, Delta Lake, Kubernetes, Helm, Docker, GitHub Actions, ArgoCD, OpenTelemetry, Prometheus, Grafana, TypeScript, Bash
Responsibilities
Design and manage AWS data infrastructure; build production streaming pipelines; implement IaC and CI/CD; design data models and governance policies; mentor junior engineers; partner with product and security teams.
Seniority
Senior, hands-on IC with leadership responsibilities
