Data Architecture and Deployment:

• Designing scalable and efficient Snowflake data architectures using the Snowflake Data Cloud Deployment Framework.
• Supporting self-service platforms, FinOps models, and DataOps practices, including CI/CD pipelines.

Data Pipeline Development:

• Building robust data pipelines leveraging
  Snowflake features, SQL, Python, Kafka, and tools like DBT, Matillion, and Fivetran.
• Working with advanced Snowflake features like Unistore and Dynamic Tables for Change Data Capture (CDC) at the RAW layer and transformations at the INT layer.

Performance Optimization:

Ensuring cost-efficient and high-performance

Snowflake solutions through effective design and tuning.

AI/ML Integration:

Enabling Al/ML capabilities on Snowflake for conversational data interactions and advanced analytics.

Technical Leadership:

• Providing leadership in service delivery, managing escalations, conducting design reviews, and optimizing complex use cases.
• Mentoring teams and overseeing enhancements for existing Snowflake solutions.

Customer-Centric Collaboration:

• Collaborating with field teams, customers, and partners to address design flaws, migrations, and unique customer challenges.
• Driving product enhancements through partnership with Snowflake's support, product management, and engineering teams.

Monitoring and Support:

Managing technical reviews and monitoring ongoing implementations to ensure optimal architecture and resolution of critical issues."