Platform Data Architect

5 days ago

Bareilly, Uttar Pradesh, India beBeeData Full time ₹ 1,97,50,000 - ₹ 2,51,25,000
Job Description

We are seeking a highly skilled professional to lead the implementation and operational excellence of a scalable, multitenant modern data platform. This role requires hands-on experience in managing Snowflake environments, supporting data pipeline orchestration, enforcing platform-level standards, and ensuring observability, performance, and security across environments.

This position involves collaborating with architects, engineers, and DevOps teams to operationalize the platform's design and drive its long-term stability and scalability in a cloud-native ecosystem.

  • Lead the technical implementation and stability of the multitenant Snowflake data platform across dev, QA, and prod environments
  • Design and manage schema isolation, role-based access control (RBAC), masking policies, and cost-optimized Snowflake architecture for multiple nonprofit tenants
  • Implement and maintain CI/CD pipelines for dbt, Snowflake objects, and metadata-driven ingestion processes using GitHub Actions or similar tools
  • Develop and maintain automation accelerators for data ingestion, schema validation, error handling, and onboarding new clients at scale
  • Collaborate with architects and data engineers to ensure seamless integration with source CRMs, ByteSpree connectors, and downstream BI/reporting layers
  • Monitor and optimize performance of Snowflake workloads (e.g., query tuning, warehouse sizing, caching strategy) to ensure reliability and scalability
  • Establish and maintain observability and monitoring practices across data pipelines, ingestion jobs, and platform components (e.g., error tracking, data freshness, job status dashboards)
  • Manage infrastructure-as-code (IaC), configuration templates, and version control practices across the data stack
  • Ensure robust data validation, quality checks, and observability mechanisms are in place across all platform services
  • Support incident response, pipeline failures, and technical escalations in production, coordinating across engineering and client teams.
  • Contribute to data governance compliance by implementing platform-level policies for PII, lineage tracking, and tenant-specific metadata tagging

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