Data Architect

• 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.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4-5 years of experience in designing and building high-performance cloud-based data architectures.
• Experience in Data Engagements, especially leading data strategy, roadmap and implementation.
• Tech Stack – Python, SQL, AWS, Snowflake, DBT, Airflow, Bedrock, NoSQL.
• Knowledge of container-based big data architectures and Kubernetes.
• Familiarity with DevOps / DataOps / MLOps concepts.

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