Snowflake Platform Engineer, AI & Data Platforms; AiDP
Listed on 2026-07-18
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Snowflake Platform Engineer, AI & Data Platforms (AiDP)
Austin, Texas, United States Corporate Functions
A specialized role for a Snowflake Platform Administration & Performance Engineer 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.
DescriptionPerformance Tuning & Optimization:
Proactively monitor and tune workloads using Snowsight Performance Explorer and account usage schemas. 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 such as Terraform.
Cloud:
Manage Snowflake Iceberg Tables in AWS cloud. Experience with 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. 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. Ensure compliance with data protection standards such as GDPR or HIPAA.
- Snowflake Platform Administration:
Manage accounts, virtual warehouses, and database objects. Configure auto‑scaling, monitor warehouse utilization, and implement backup strategies via Time Travel and Cloning. - Advanced Cost Management:
Implement autonomous warehouse management, right‑sizing clusters based on real‑time usage patterns, and configure auto‑suspend/resume with 60‑second timeouts to eliminate idle compute waste. - 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 IaC tools like Terraform.
- Snowflake experience
- Experience as a data engineer, database administrator, or performance tuner
- Architecture knowledge: deep understanding of multi‑cluster shared data architecture and micro‑partitioning
- Bachelor’s degree in computer science or an equivalent field
- At least 2 years experience in database administration or performance tuning with specific hands‑on Snowflake experience
- Master’s degree in computer science or an equivalent field
- Deep understanding of Snowflake’s multi‑cluster shared data architecture and micro‑partitioning
- Snow Pro Core certification highly preferred, along with relevant cloud‑specific associate or professional certifications
- Experience monitoring and tuning workloads using Snowsight Performance Explorer and ACCOUNT USAGE schemas
- Proficiency in optimizing query execution: analyzing query profiles for disk spillage, identifying cartesian joins, and implementing Search Optimization Services or Query Acceleration
- Cost optimization skills: analyze credit consumption and query performance to reduce spend while maintaining SLAs
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants.
Apple accepts applications to this posting on an ongoing basis.
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).