
Platform Delivery Expert
1 week ago
Cloud Data Platform Leader
We are seeking a highly skilled and proactive Cloud Data Platform Leader with expertise in Snowflake and AWS cloud services 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.
The ideal candidate will have a strong understanding of cloud-native ecosystems, AWS services relevant to data platforms, and experience optimizing Snowflake performance. They will also be familiar with setting up observability frameworks, monitoring tools, and data quality checks across complex pipeline ecosystems.
Key Responsibilities:
- 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 clients
- 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 systems 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 teams.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field
- 6+ years of experience in data engineering or platform delivery, including 3+ years of hands-on Snowflake experience in production environments
- Proven expertise in building and managing multitenant data platforms, including schema isolation, RBAC, and masking policies
- Solid knowledge of CI/CD practices for data projects, with experience guiding pipeline implementations using tools like GitHub Actions
- Hands-on experience with dbt, SQL, and metadata-driven pipeline design for large-scale ingestion and transformation workloads
- Strong understanding of AWS cloud services relevant to data platforms (e.g., S3, IAM, Lambda, CloudWatch, Secrets Manager)
- Experience optimizing Snowflake performance, including warehouse sizing, caching, and cost control strategies
- Familiarity with setting up observability frameworks, monitoring tools, and data quality checks across complex pipeline ecosystems
- Proficient in infrastructure-as-code (IaC) concepts and managing configuration/versioning across environments
- Awareness of data governance principles, including lineage, PII handling, and tenant-specific metadata tagging
We offer a competitive compensation package, opportunities for professional growth and development, and a collaborative work environment.
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