
Lead Analyst, Data Platform Engineering
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in United States.
• Manage United Rentals’ Snowflake Discovery accounts, overseeing users, roles, warehouses, RBAC/RLS/CLS, security policies, and configurations.
• Track platform health, performance, and costs; optimize workloads to align with business SLAs.
• Conduct audits and resolve security vulnerabilities.
• Ensure availability between Snowflake accounts and partner cloud or on-premises platforms.
• Activate, assess, and test Snowflake Private Preview features, providing recommendations for adoption.
• Design, construct, and sustain data pipelines utilizing CDC/mirror replication, APIs, custom scripts, batch processing, and file-based loads.
• Create and uphold transformation workflows across Foundation, Processed, and Curated data warehouse layers.
• Monitor the performance of pipelines and jobs, troubleshoot failures, and address data quality or timeliness issues.
• Collaborate with source system owners and corporate teams to integrate data sources and establish ingestion standards.
• Document pipeline architecture, dependencies, and data lineage.
• Assist in the enablement, testing, and deployment of AI applications and copilots such as Claude, ChatGPT/Copilot, and Snowflake Cortex Agents.
• Configure and supervise AI agents, including MCP server-based agent-to-agent integrations.
• Collaborate on ontology and knowledge graph context-layer initiatives.
• Build and maintain curated datasets, business data models, and Semantic Views for dashboards, agents, and AI/BI layers.
• Work with BI and analytics teams utilizing Sigma and Tableau.
• Verify data accuracy and readiness for production prior to release.
• Act as a key resource for Snowflake capabilities, feature implementation, and platform best practices.
• Document platform architecture, runbooks, and instructional guides.
• Educate team members and business users on relevant tools and functionalities.
• Convert business requests into priorities, balancing short- and long-term needs, appropriately addressing or escalating issues, and promoting continuous improvement.
• Bachelor’s Degree in Computer Science, Information Systems, or a related technical discipline.
• Master’s Degree is preferred.
• Over 5 years of experience in database/platform administration, data engineering, or business intelligence.
• Minimum of 1 year of hands-on experience managing Snowflake or a comparable cloud data platform in a production setting.
• More than 1 year of experience leading complex projects or initiatives.
• Practical experience with a multi-account Snowflake architecture.
• Proficient in SQL programming.
• Experience with data ingestion and ETL/ELT tools such as Fivetran/HVR, Matillion, dbt, Coalesce, and Postman.
• Familiarity with AI/LLM enablement and tools like Claude, ChatGPT, Microsoft Copilot, GitHub Copilot, and Snowflake Cortex Code.
• Experience with BI and visualization tools like Tableau or Sigma is advantageous.
• Understanding of agentic architectures, including MCP servers and agent-to-agent communication, is a plus.
• Snowflake certification (SnowPro Core or Advanced) is highly desirable.
• Familiar with agile development methodologies.
• Strong analytical and critical thinking skills, focused on practical problem-solving within constraints.
• Excellent technical documentation capabilities.
• Strong verbal and written communication skills for effective collaboration with IT and business leaders.
• Ability to work collaboratively and across different functions.
• Paid Parental Leave.
• United Compassion Fund.
• Employee Discount Program.
• Opportunities for Career Development and Promotion.
• Additional Vacation Buy Up Program (US Only).
• Early Wage Access through Payactiv (US Hourly Only).
• Paid Sick Leave.
• Inclusive and welcoming work culture.
• Comprehensive health and financial plans.
• Extensive U.S. benefit offerings.
• Benefits available in Canada.
Instacart
GEICO
Litmus
Candid
Get handpicked remote jobs straight to your inbox weekly.