Description :
- 8+ years of experience in IT, including 6+ years of experience as an architect. Snowflake Data Architect, Cortex AI. Design enterprise data architecture and integration patterns in Snowflake.
- Implement Cortex AI features for ML models and predictions.
- Administer Striim pipelines for real-time CDC data ingestion.
- Optimize data flows between Striim, Snowflake, and source systems. Define governance standards for AI/ML workflows and streaming data.
We are seeking an experienced Snowflake Data Architect with strong expertise in enterprise data architecture, real-time data integration, and AI/ML enablement. The ideal candidate will play a key role in designing scalable data platforms on Snowflake, implementing Cortex AI capabilities, and managing real-time CDC pipelines using Striim.
This role requires deep architectural experience, hands-on implementation skills, and the ability to define governance standards for streaming data and AI-driven workflows.
Key Responsibilities :
- Design and implement enterprise-grade data architecture on Snowflake
- Define scalable data models, integration patterns, and best practices
- Architect data lakes, data warehouses, and data marts on Snowflake
- Ensure high performance, scalability, and cost optimization of Snowflake environments
- Implement and optimize Snowflake Cortex AI features for ML models, predictions, and analytics
- Enable AI/ML workloads directly within Snowflake
- Collaborate with data science teams to operationalize ML models
- Define standards for AI model deployment, monitoring, and lifecycle management
- Administer and manage Striim pipelines for real-time CDC (Change Data Capture) ingestion
- Optimize data flows between source systems, Striim, and Snowflake
- Ensure low-latency, reliable, and fault-tolerant data pipelines
- Troubleshoot performance and data consistency issues across streaming systems
- Design and implement batch and real-time ETL/ELT pipelines
- Integrate data from multiple sources (databases, applications, APIs, cloud services)
- Ensure data quality, validation, and reconciliation across pipelines
- Define and enforce data governance standards for streaming data and AI/ML workflows
- Implement role-based access control (RBAC), data masking, and encryption
- Ensure compliance with enterprise security and regulatory requirements
- Establish data lineage, auditing, and monitoring frameworks
- Act as a technical architect guiding data engineering and analytics teams
- Collaborate with stakeholders to translate business requirements into technical solutions
- Review designs, provide technical guidance, and mentor team members
- Contribute to architecture documentation and best-practice guidelines
Required Skills & Expertise :
- 8+ years of overall IT experience
- 6+ years of experience in a Data Architect / Solution Architect role
- Strong hands-on experience with Snowflake Data Platform
- Snowflake architecture, performance tuning, and cost optimization
- Snowflake Cortex AI for ML models and predictive analytics
- Advanced SQL and data modeling techniques
- Experience with ETL/ELT frameworks and orchestration tools
- Hands-on experience with Striim for real-time CDC pipelines
- Strong understanding of streaming data architectures
- Experience integrating Snowflake with on-prem and cloud-based source systems
- Understanding of AI/ML workflows and model deployment
- Experience enabling analytics and predictive use cases on data platforms
- Knowledge of feature engineering and data preparation for ML
- Experience with cloud platforms (AWS / Azure / GCP)
- Familiarity with CI/CD for data pipelines
- Infrastructure-as-code and automation exposure
- Bachelors or Masters degree in Computer Science, Data Engineering, or a related field
- Strong analytical, problem-solving, and communication skills
- Ability to work independently and lead architectural initiatives
- Experience with Kafka or other streaming platforms
- Knowledge of data catalogs and metadata management tools
- Exposure to enterprise BI and reporting tools
- Experience in large-scale enterprise data modernization programs