Job Description
- Provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage
- Assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines
- Define and advise on the design of modern, future‑ready data architectures that align with business goals and support AI, analytics, and automation
- Provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance
- Develop data models, schemas, and standards that ensure data integrity, quality, and accessibility
- Design & Build solutions with AI Services like Bedrock, Google etc.
- Mentor and guide team members in best practices for data architecture and management
- Participate in code reviews and contribute to the improvement of data engineering best practices
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