Data Architect

1 week ago

Greater Bengaluru Area, India Tredence Inc. Full time

Key Responsibilities • Platform Leadership & Architecture: o Serve as the technical lead for the Snowflake data platform, driving architectural decisions and best practices. o Design and implement scalable, robust, and cost-effective data warehousing solutions using Snowflake. • Data Ingestion & Streaming: o Develop and manage high-volume, real-time data ingestion pipelines utilizing Snowpipe Streaming and Kafka. o Configure and optimize integrations between Kafka/Confluent and Snowflake for low-latency data availability. • Data Development & Optimization: o Write, optimize, and review highly complex and advanced SQL queries and stored procedures within Snowflake. o Perform rigorous performance tuning on complex queries, data loads, and overall Snowflake warehouse utilization to ensure efficient resource consumption and fast query response times. o Implement and maintain robust Data Quality checks and reconciliation processes to ensure data accuracy, completeness, and consistency. • Security & Governance: o Implement stringent controls for Sensitive Data Handling using Snowflake features like dynamic data masking, access control (RBAC), and external tokenization. o Ensure all data solutions comply with regulatory standards and internal governance policies. • Data Modeling: o Design, develop, and maintain dimensional and normalized Data Models (e.g., Star Schema, Data Vault) optimized for analytical and reporting needs within the Snowflake environment. • Cloud Infrastructure & Services: o Leverage AWS services such as EC2 for pipeline orchestration/management, MSK (Managed Streaming for Apache Kafka) for robust streaming data management, and IAM for secure access and resource provisioning. o Develop Infrastructure as Code (e.g., Terraform/CloudFormation) for managing AWS and Snowflake resources (a plus).

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