Lead Data Engineer (Platform)
Tasks
- Act as main technical point of contact for platform and framework queries
- Automate manual repetitive processes
- Conduct code and design reviews across platform components
- Contribute to documentation and developer enablement materials
- Define and enforce engineering standards for testing code quality deployment and documentation
- Define and evolve platform architecture decisions
- Design and implement CI CD pipelines and automation frameworks
- Design build and maintain scalable data engineering frameworks
- Develop and maintain AI engineering assets coding guidelines prompt frameworks and reusable agent configurations
- Develop reusable patterns templates and abstractions
- Ensure platform tooling meets security compliance and operational requirements
- Integrate AI-assisted development tools into workflows
- Investigate resolve framework level issues and production incidents
- Lead development and operational support of data transformation frameworks
- Monitor platform health performance and adoption and iterate based on feedback
- Partner with engineering teams to identify pain points and deliver platform improvements
- Support onboarding and enablement for platform tooling
Perks/Benefits
- Cozy office space
- Health insurance
- Hybrid work options
- Multisport cards
- Personal career development
- Psychological consultations
- Team events
- Training budget
- Transportation subsidy
- Vacation days
Skills/Tech-stack
AWS | Alerting | Apache Spark | Azure DevOps | CI/CD | DBT Core | Data Quality | Databricks | Delta Lake | Git | GitHub Actions | GitLab CI | Infrastructure as Code | Integration Testing | Lakehouse Architecture | Logging | Monitoring | Prompts | Python | SQL | Technical documentation | Terraform | Unit Testing | Unity Catalog | Version control | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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