Snowflake architect

TATA Consulting ServicesColumbus, OH
29d$100,000 - $130,000

About The Position

Snowflake Architect is responsible for designing, implementing, and optimizing enterprise data solutions on the Snowflake platform, with a strong focus on AI/ML integration. This role ensures scalable, secure, and high-performance architectures that enable advanced analytics and AI-driven insights. Architect Snowflake-based solutions for data warehousing, analytics, and AI workloads. Implement advanced Snowflake features: Snow pipe for continuous ingestion Streams & Tasks for real-time processing Time Travel, Zero Copy Cloning, and Secure Data Sharing for efficient data management. Design and manage data pipelines using dbt, Airflow, and CI/CD frameworks. Enable AI/ML integration: Support predictive analytics and generative AI use cases Leverage Snowflake Cortex and Copilot for LLM-based applications. Ensure data governance, RBAC, and security compliance across Snowflake environments. Collaborate with business and technology teams to define data product strategies and modernization roadmaps.

Requirements

  • Snowflake Expertise: Schema design, workload isolation, performance tuning, and monitoring.
  • AI/ML Knowledge: Python, ML frameworks, and integration with Snowflake AI features.
  • Data Engineering: ELT/ETL tools (dbt, Talend), orchestration (Airflow), and automation.
  • Cloud Platforms: AWS, Azure, or GCP with Snowflake integration experience.
  • Security & Governance: RBAC, data masking, encryption, and compliance frameworks.

Responsibilities

  • Designing, implementing, and optimizing enterprise data solutions on the Snowflake platform, with a strong focus on AI/ML integration.
  • Architecting Snowflake-based solutions for data warehousing, analytics, and AI workloads.
  • Implementing advanced Snowflake features: Snow pipe for continuous ingestion, Streams & Tasks for real-time processing, Time Travel, Zero Copy Cloning, and Secure Data Sharing for efficient data management.
  • Designing and managing data pipelines using dbt, Airflow, and CI/CD frameworks.
  • Enabling AI/ML integration: Support predictive analytics and generative AI use cases, Leverage Snowflake Cortex and Copilot for LLM-based applications.
  • Ensuring data governance, RBAC, and security compliance across Snowflake environments.
  • Collaborating with business and technology teams to define data product strategies and modernization roadmaps.

Benefits

  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Professional, Scientific, and Technical Services

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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