Snowflake Data pipeline & Integration Engineer - Senior Manager

Job Summary We are looking for an AVP – Data Pipeline, Integration & Snowflake Administration Engineering to own and support large-scale data ingestion, replication, and Snowflake platform administration. This role will focus on GoldenGate-based replication, cloud-native pipelines, Snowflake data platform engineering & administration, Databricks BAU support, and production issue triage.

Key Responsibilities Data Engineering & Pipeline Ownership Own and support data ingestion and replication pipelines using GoldenGate (GG), DMS Design, build, and support data pipelines and integrations on Snowflake Provide BAU support for pipelines (ReplHub, GG, DMS, Snowflake, etc.) Develop and maintain data processing components using Python Support and enhance Databricks pipelines and workloads Snowflake Administration Administer and manage Snowflake accounts, warehouses, databases, implementation ci/cd deployments and schemas Implement and manage role-based access control (RBAC), user provisioning, and security policies Monitor and optimize Snowflake performance, query tuning, and workload management Manage compute/storage cost optimization strategies (auto-suspend, scaling policies) Handle data sharing, replication, failover, and disaster recovery configurations Ensure data governance, masking, encryption, network policies and compliance controls Manage Snowflake upgrades, configurations, and platform health monitoring Integration of SSO for Snowflake, key management DR, failover and replication capabilities for Snowflake Operations & Reliability Lead production support, troubleshooting, and root cause analysis for pipeline and platform issues Coordinate with cloud teams for performance, scalability, and reliability improvements Monitor pipelines and Snowflake workloads for SLAs and operational health Support testing, validation, and release activities across environments Collaborate with application/business teams for pipeline enhancements and issue resolution Required Skills & Experience Strong, hands-on experience with Snowflake (MANDATORY) including administration and platform management Proven experience in Snowflake administration: RBAC, security, data governance Performance tuning and query optimization Warehouse and cost management Backup, replication, and DR setup Strong experience with GoldenGate (GG) and DMS Hands-on experience with Python Experience supporting Databricks in production environments Strong understanding of AWS/Azure cloud services Experience building and managing data warehouse/lakehouse architectures Proven ability to triage and resolve production issues in large-scale data platforms Preferred Qualifications Experience with enterprise-grade Snowflake platform administration at scale Knowledge of data security, governance, lineage, and auditing frameworks Familiarity with monitoring/observability tools (e.g., Snowflake Resource Monitors, Query History, etc.) Experience in financial data domains and regulatory environments Exposure to data quality, reconciliation, and operational monitoring frameworks About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.

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