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Job Description

Orchard seeks a Senior Analytics Engineer in New York, NY (hybrid) to rebuild how the business derives answers from data and to own the analytics platform roadmap end to end.

Responsibilities

  • Own the major analytics platform initiatives from scoping to delivery, collaborating with the Director to shape future roadmap directions.
  • Ingest new data sources and deliver production gold-tier dbt models that the company can rely on, balancing speed and quality.
  • Author and maintain the prose semantic layer with markdown documentation describing model meanings, metric definitions, historical decisions, and known landmines.
  • Develop and tune the LLM-powered query layer, including prompt design, retrieval workflows, evaluation, and the feedback loop when results are incorrect.
  • Deploy and calibrate agents that monitor certified dashboards for anomalies and trend shifts, refining them until executives trust the alerts and act upon them.

Requirements

  • 4+ years in analytics engineering, data engineering, or a hybrid data role, including ownership of a significant data platform or end-to-end migration.
  • Deep dbt and SQL fluency with strong opinions about data grain, testing, documentation, and the limits of each approach.
  • Experience working in Redshift or a comparable data warehouse at scale.
  • Built something useful with LLMs against your own data and have opinions about what works; hands-on experience with retrieval or evaluations is a plus.
  • Clear technical writing ability; able to explain a metric in a paragraph that an executive can read.
  • Proven track record of owning technical decisions and bringing stakeholders along across the organization; able to push back when data does not support requests while maintaining collaboration.

Technologies

  • Looker
  • dbt
  • SQL
  • Redshift
  • LLM

Compensation

  • Salary: USD 135,000 - 180,000 per year

Benefits

  • Stock options
  • Incentive pay
  • Medical benefits
  • Financial benefits
  • Other benefits

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