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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Platform Engineer, AI & Data Platforms (AiDP) - **Company:** Apple Inc. - **Location:** Austin, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Cloud Computing, System Configuration, Data Masking, Data Transformation, Data Security, Data Sharing, Multi-Factor Authentication, Python (Programming Language), Performance Tuning, Role-Based Access Control, Load Balancing, Autoscaling, Snowflake, Amazon Virtual Private Cloud (VPC), Infrastructure Automation Frameworks, Information Technology, Data Management, Terraform - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=12418d532bf0325f ## About the Role Do you have experience in Snowflake?, Do you have a Master's degree?, 2+ years in database administration or Performance Tuning with specific hands-on Snowflake experience 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. Minimum Qualifications Snowflake experience Data Engineer or Database Administration or Performance Tuning experience Architecture Knowledge: Deep understanding of multi-cluster shared data architecture and micro-partitioning Bachelor's Degree, Computer Science or equivalent degree or experience ## 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 Tables 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","responsibilities":"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. 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. 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Fifty Shades of Kubernetes Autoscaling](https://www.wearedevelopers.com/videos/813-fifty-shades-of-kubernetes-autoscaling) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)