Related skills
aws snowflake sql python kafka📋 Description
- Lead evolution of intelligent platforms across the enterprise customer division.
- Define data architecture, AI strategy, and governance models.
- Enable automation, MLOps, and data-driven insights.
- Collaborate with business and tech partners to deliver data ecosystems and AI solutions.
- Establish a future-ready data foundation with secure, adaptable architectures.
- Champion data governance and ethical technology practices.
🎯 Requirements
- 7+ years leading data architecture initiatives including cloud-native platforms.
- Expertise in distributed data systems, data warehouse, Lake House; MLflow/SageMaker.
- Proficiency in Python, SQL, Snowflake; deploy ML via containers, APIs, serverless.
- Strong data modeling: logical/physical, dimensional; normalize/denormalize.
- Experience building data systems in microservice environments for ops/BI access.
- Proficiency in ETL design from source to target delivering insights.
- Familiarity with data observability, CI/CD for ML, lineage/trust frameworks.
- Agile mindset; guide architecture for Agile Release Trains (ART).
🎁 Benefits
- Competitive compensation
- Professional development opportunities
- Flexible work arrangements
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!