[Hiring] Lead Analyst, Data Platform Engineering @United Rentals

Role Description

The Lead Analyst, Data Platform Engineering serves as one of the team’s Snowflake administrators and data pipeline engineers, responsible for the day-to-day security, performance, and reliability of United Rentals’ Snowflake platform. This role designs and builds data pipelines that ingest data from a wide variety of sources, and develops the curated, agent-ready data layers that power the enterprise’s BI and AI ecosystem. The Lead Analyst plays a crucial role in enabling AI applications such as Claude and ChatGPT across the organization.

• Snowflake Platform Administration
  • Serves as one of the Snowflake administrators for URI’s Discovery accounts; managing users, roles, warehouses, RBAC / RLS / CLS, security policies, and other account-level configurations.
  • Monitors platform health, performance and cost, tuning workloads as needed to meet business SLAs.
  • Audits and remediates security issues.
  • Manages availability between Snowflake accounts and partner platforms, whether cloud or on-prem.
  • Activates, tests, and evaluates Snowflake Private Preview capabilities ahead of general availability, documenting findings and recommending adoption strategies.
• Data Pipeline & Ingestion Engineering
  • Designs, builds, and maintains data pipelines that ingest data from a variety of internal and external sources using multiple techniques including CDC / mirror replication, API-based ingestion, custom scripts, and traditional batch and file-based loads.
  • Builds and maintains transformation workflows across the Foundation, Processed, and Curated layers of the enterprise data warehouse.
  • Monitors pipeline and job performance, troubleshoots failures, and resolves data quality or timeliness issues.
  • Partners with source system owners and corporate teams to onboard new data sources and define ingestion standards.
  • Documents pipeline design, dependencies, and data lineage to support governance and troubleshooting.
• AI & Agent Enablement
  • Supports enablement, testing, and rollout of AI applications and copilots across the analytics organization.
  • Helps set up, configure, and monitor agents, including MCP server-based agent-to-agent integrations.
  • Partners with the broader data architecture team on context-layer efforts so agents can reliably query curated business data.
• Curate Data & Semantic Views
  • Builds and maintains curated data sets and business data models that feed dashboards, semantic views, and downstream agents.
  • Designs and maintains Semantic Views that support Cortex Analyst and other AI/BI consumption layers.
  • Partners with BI and analytics teams to ensure the curated layer meets reporting and self-service needs.
  • Reviews data for accuracy and production-readiness prior to release to business users and agents.
• Organizational Support & Enablement
  • Acts as a go-to resource across the Data & Analytics team for Snowflake capabilities, new feature adoption, and platform best practices.
  • Documents platform architecture, runbooks, and how-to guides for the team and business users.
  • Trains team members and business users on new tools, features, and capabilities relevant to their needs.
• Strategic Prioritization & Ownership
  • Translates business asks into clear priorities the team can act on.
  • Balances short-term demands with long-term priorities.
  • Knows when to escalate and when to resolve issues independently.
  • Embraces change and helps the team navigate ambiguity with confidence.
  • Takes initiative and accountability, following through on commitments.
  • Fosters a culture of continuous learning and improvement.

Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, or a related technical field, with a Master’s Degree preferred.
• 5+ years of experience in database/platform administration, data engineering, or business intelligence, including at least 1 year with hands-on experience administering Snowflake or a similar cloud data platform in a production environment.
• 1+ years leading complex projects or initiatives.
• Hands-on experience with a multi-account Snowflake architecture.
• Strong SQL programming skills.
• Experience with data ingestion and ETL/ELT tools, e.g. Fivetran/HVR, Matillion, dbt, Coalesce, Postman.
• Familiarity with AI/LLM enablement and tools such as Claude, ChatGPT, Microsoft Copilot, Github Copilot, Snowflake Cortex Code.
• Experience with BI and visualization tools like Tableau or Sigma is a plus.
• Understanding of agentic architectures, including MCP servers and agent-to-agent communication, is a plus.
• Snowflake certification (SnowPro Core or Advanced) a strong plus.
• Familiarity with agile development practices.
• Strong analytical and critical thinking skills with a focus on practical problem-solving within constraints.
• Strong technical documentation skills.
• Must have excellent oral and written communication skills to work collaboratively and cross-functionally with IT and business leads daily.

Benefits

• Paid Parental Leave.
• United Compassion Fund.
• Employee Discount Program.
• Career Development & Promotional Opportunities.
• Additional Vacation Buy Up Program (US Only).
• Early Wage Access through Payactiv (US Hourly Only).
• Paid Sick Leave.
• An inclusive and welcoming culture.