Related skills
aws snowflake sql python dbt📋 Description
- Develop and maintain data and AI architecture strategy and portfolio.
- Mentor engineers and leadership by providing patterns and guidance.
- Lead ADRs, standards, and design reviews for architecture.
- Oversee architecture reviews, code reviews, and performance analysis.
- Foster collaboration, knowledge sharing, and continuous learning.
- Enable governed data consumption with data contracts and datasets.
🎯 Requirements
- 7+ years in software architecture and large-scale systems.
- 4+ years in data engineering or data platform architecture and AI.
- Turn ambiguous requirements into scalable, low-cost patterns.
- Strategic thinking with attention to technical details.
- Experience building governance-ready data platforms with standards.
- Deep expertise in cloud, distributed systems, and integration.
- AWS Glue, Step Functions, Airflow, dbt, Spark, Snowflake experience.
- Proficiency in Python and SQL (and Jupyter Notebooks).
🎁 Benefits
- Flexible hybrid work model with optional in-person collaboration.
- Mission-driven culture focused on social impact.
- DEIB commitment with supportive employee resources groups.
- Growth opportunities and mentorship.
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