Related skills
aws snowflake sql python dbt📋 Description
- Develop and maintain data/AI strategy and architecture portfolio
- Mentor engineers and leadership with patterns and guidance
- Lead ADRs, standards, and design reviews
- Oversee architecture reviews, code reviews, and performance analysis
- Foster collaboration and continuous learning through mentorship and workshops
- Enable governed data consumption via data contracts and curated datasets
🎯 Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
- 7+ years in software architecture and large-scale enterprise systems
- 4+ years in data engineering or data platform architecture including AI solutions
- Structured problem solving to turn ambiguous requirements into scalable patterns
- Ability to think strategically while paying attention to technical details
- Experience building or evolving an enterprise data platform with standards
- Governance-ready AI solutions including privacy safeguards and auditability
- Strong expertise in system architecture, cloud computing, distributed systems
🎁 Benefits
- Experience operating in regulated environments (SOC2, ISO 27001, GDPR)
- Federated domain ownership models with shared standards and tooling
- Designing and scaling platform observability for data pipelines, streaming systems, and AI services
- Familiarity with medallion architecture patterns
- Streaming platforms and data governance tools familiarity (Kafka, DataHub, Atlan)
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