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Lead Analyst, Data Platform Engineering

Data Engineer Full-time Permanent Remote Office

Job details

Not specified Salary
Remote Office Eligibility
Lead Experience
Full-time Employment

About this role

Role overview

Administer a multi-account Snowflake environment and engineer the pipelines and curated data layers that support analytics and AI applications. The work spans platform security, performance, ingestion, semantic modeling, and helping teams evaluate and adopt new platform capabilities.

Responsibilities

- Manage Snowflake accounts, users, roles, compute resources, access controls, and security policies; monitor performance, availability, and cost. - Build and maintain ingestion pipelines using replication, APIs, scripts, and batch or file-based loads, along with transformations across warehouse layers. - Investigate pipeline failures and data quality or timeliness problems; document dependencies, standards, and lineage. - Configure, test, and support AI assistants and agents, collaborating on integrations and the business context they need to use curated data reliably. - Develop curated datasets and semantic views for reporting and AI use; review data for accuracy and production readiness. - Evaluate early platform features, recommend adoption approaches, document guidance, and help colleagues and business users use new capabilities.

Requirements

- Bachelor’s degree in a technical field; a master’s degree is preferred. - At least five years in platform or database administration, data engineering, or business intelligence, including one year administering Snowflake or a comparable cloud platform in production. - Experience leading complex initiatives and working with multi-account Snowflake environments. - Strong SQL and experience with data ingestion or ETL/ELT tools such as Fivetran/HVR, Matillion, dbt, Coalesce, or Postman. - Strong analytical problem-solving, technical documentation, and communication skills for cross-functional work. - Familiarity with agile practices.

Nice to have

Experience with AI assistants or LLM tooling, BI platforms such as Tableau or Sigma, and agent integrations using MCP is useful. Snowflake SnowPro Core or Advanced certification is a plus.

Benefits and work setup

The source lists health and financial plans, paid parental leave, paid sick leave, career development, and vacation purchase options. Additional programs vary by location and employment type.

Skills detected in the listing

GoSQLSnowflakeTableaudbtData WarehousingData EngineeringBusiness IntelligenceLLM
Detected Nov 6, 2026
Last verified Nov 6, 2026

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