About the role

What will you do at Apple?

A specialized role for a Snowflake Platform Administration & Performance

Engineer role focuses on the seamless synergy between automated administration

and high-tier workload optimization. This position is about transforming the

data warehouse into an autonomous, high-performance engine that fuels real-time

decision-making.

DESCRIPTION

Performance Tuning & Optimization: Proactively monitor and tune workloads using

Snowsight Performance Explorer and account usage schemas. You will optimize

query execution by analyzing query profiles for disk spillage, identifying

Cartesian joins, and implementing Search Optimization Services or Query

Acceleration where necessary. Lakehouse Implementation: Design and manage

unified storage using Apache Iceberg to allow open-format data to be queried

directly in Snowflake with warehouse-level performance. Python-Driven

Automation: Develop advanced scripts and pipelines using Snowpark Python and

Snowpark pandas APIs for scalable data transformations. Automate administrative

tasks such as environment provisioning and security policy enforcement through

Infrastructure as Code (IaC) tools like Terraform. Cloud: Manage Snowflake

Iceberg T ables in AWS cloud.Experience in cloud s3,gateway,private link,EKS,

Load Balancing, VPC peering, and secure data sharing. Advanced Cost Management:

Implement autonomous warehouse management, right-sizing clusters based on

real-time usage patterns, and configuring auto-suspend/resume with 60-second

timeouts to eliminate idle compute waste. Snowflake Platform Administration:

Manage accounts, virtual warehouses, and database objects. This includes

configuring auto-scaling, monitoring warehouse utilization, and implementing

backup strategies via Time Travel and Cloning. Security & Governance: Implement

Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), and data

masking policies. You are responsible for ensuring compliance with data

protection standards like GDPR or HIPAA

MINIMUM QUALIFICATIONS

3+ years in database administration or Performance Tuning with specific hands-on

Snowflake experience Architecture Knowledge: Deep understanding of multi-cluster

shared data architecture and micro-partitioning Bachelor's Degree, Computer

Science or equivalent degree or experience

PREFERRED QUALIFICATIONS

Master's Degree, Computer Science or equivalent degree Architecture Knowledge:

Deep understanding of Snowflake’s multi-cluster shared data architecture and

micro-partitioning. Certifications: SnowPro Core Certification is highly

preferred, along with cloud-specific associate or professional certifications

Performance Tuning & Optimization: Proactively monitor and tune workloads using

Snowsight Performance Explorer and ACCOUNT USAGE schemas. You will optimize

query execution by analyzing query profiles for disk spillage, identifying

Cartesian joins, and implementing Search Optimization Services or Query

Acceleration where necessary. Cost Optimization: Analyze credit consumption and

query performance to reduce spend while maintaining SLAs Python-Driven

Automation: Develop advanced scripts and pipelines using Snowpark Python and

Snowpark pandas APIs for scalable data transformations. Automate administrative

tasks such as environment provisioning and security policy enforcement through

Infrastructure as Code (IaC) tools like Terraform.

Which skills does this role require?

Apache IcebergAWSCost ManagementRole-Based Access ControlMulti-Factor AuthenticationData MaskingDatabase AdministrationData GovernanceGDPRHIPAAQuery AccelerationData WarehouseReal-Time Decision-MakingAuto-ScalingBackup StrategiesTime Travel

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