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United Rentals

Industrial and construction equipment rental provider

Lead Analyst - Data Platform Engineering

Data EngineeringPosted on Nov 5
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Information Systems, or a related technical field is required; a Master's degree is preferred.
  • At least 5 years of experience in database or platform administration, data engineering, or business intelligence, including at least 1 year administering Snowflake or a similar cloud data platform in production.
  • At least 1 year 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 such as Fivetran/HVR, Matillion, dbt, Coalesce, or Postman.
  • Familiarity with AI/LLM enablement and tools such as Claude, ChatGPT, Microsoft Copilot, GitHub Copilot, or Snowflake Cortex Code.
  • Familiarity with agile development practices.
  • Strong analytical and critical-thinking skills focused on practical problem-solving within constraints.
  • Strong technical documentation skills.
  • Excellent oral and written communication skills to work collaboratively and cross-functionally with IT and business leads daily.

Responsibilities

  • Serve 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.
  • Monitor platform health, performance, and cost, tuning workloads as needed to meet business SLAs.
  • Audit and remediate security issues.
  • Manage availability between Snowflake accounts and partner platforms, whether cloud or on-premises.
  • Activate, test, and evaluate Snowflake Private Preview capabilities ahead of general availability, documenting findings and recommending adoption strategies.
  • Design, build, and maintain data pipelines that ingest data from internal and external sources using CDC or mirror replication, API-based ingestion, custom scripts, and batch or file-based loads.
  • Build and maintain transformation workflows across the Foundation, Processed, and Curated layers of the enterprise data warehouse.
  • Monitor pipeline and job performance, troubleshoot failures, and resolve data quality or timeliness issues.
  • Partner with source system owners and corporate teams to onboard new data sources and define ingestion standards.
  • Document pipeline design, dependencies, and data lineage to support governance and troubleshooting.
  • Support enablement, testing, and rollout of AI applications and copilots across the analytics organization.
  • Set up, configure, and monitor agents, including MCP server-based agent-to-agent integrations.
  • Partner with the broader data architecture team on context-layer efforts, including ontology and knowledge graph, so agents can reliably query curated business data.
  • Build and maintain curated datasets and business data models that feed dashboards, semantic views, and downstream agents.
  • Design and maintain Semantic Views that support Cortex Analyst and other AI/BI consumption layers.
  • Partner with BI and analytics teams using Sigma and Tableau to ensure the curated layer meets reporting and self-service needs.
  • Review data for accuracy and production-readiness before release to business users and agents.
  • Act as a go-to resource across the Data & Analytics team for Snowflake capabilities, new feature adoption, and platform best practices.
  • Document platform architecture, runbooks, and how-to guides for the team and business users.
  • Train team members and business users on new tools, features, and capabilities relevant to their needs.
  • Translate business requests into clear priorities the team can act on.
  • Balance short-term demands with long-term priorities.
  • Escalate issues when appropriate and resolve others independently.
  • Take initiative and accountability, following through on commitments.
  • Foster a culture of continuous learning and improvement.

Desired Qualifications

  • Experience with BI and visualization tools such as Tableau or Sigma.
  • Understanding of agentic architectures, including MCP servers and agent-to-agent communication.
  • Snowflake certification, such as SnowPro Core or Advanced.

About the Company

United Rentals

Industrial and construction equipment rental provider

United Rentals rents a wide range of industrial and construction equipment through a network of U.S. and Canadian branches, owning the world’s largest rental fleet with over 3,300 item classes. Customers rent equipment for set periods and pay rental fees, and the company also sells used gear, new equipment, contractor supplies, parts, and related services. It differentiates itself with a dominant North American market share (around 16%), a broad inventory, and growth in Europe through acquisitions. Its goal is to expand geographic reach and broaden offerings to provide comprehensive equipment solutions across rental, sales, and services.

Company size
10,001+
Company stage
IPO
Headquarters
Stamford, CT
Founded
1997

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