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# Analytics Engineer, Semantic Layer

- **Company:** Cloaked, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $160,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, BigQuery, Code Review, Data Validation, Information Engineering, Data Warehousing, Cloud Services, Standard Sql, SQL Databases, Large Language Models, Snowflake, Agentic-AI, Git Flow, Claude, Looker Analytics, GPT
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=94a5ec881265c1db

## About the Role

* 3-5 years of experience in analytics engineering, BI engineering, or a closely related role
 * Strong SQL and solid dimensional data modeling skills
 * Hands-on experience building semantic models in a tool like Looker (LookML), Omni, dbt Semantic Layer, or Cube (we care more about the modeling fundamentals than any specific tool)
 * Experience with dbt or a similar transformation framework, Git-based workflows, and code review
 * Familiarity with cloud data platforms (AWS/Athena, Snowflake, BigQuery, or similar)
 * AI-forward: you use AI tooling (Claude, ChatGPT, and others) fluently to ship faster, and you're excited to structure data that AI agents query directly. Experience building semantic models for LLM-driven analytics is a plus, not a requirement
 * Clear communication, and comfort pushing back on a vague metric until it's well defined

## Description

We're looking for an Analytics Engineer to own the semantic layer at Cloaked - the governed set of metrics, entities, and relationships behind every dashboard, self-serve analysis, and AI-driven answer across the company. Every number at Cloaked should mean the same thing, no matter who asks or which tool they use. You'll make that true.

This is a builder's role. You'll turn ambiguous business questions into durable, well-tested definitions that both people and AI agents can rely on, working closely with the Data team and partners across Product, Growth, Finance, and CX.

What will you do?

 * Design, build, and maintain the semantic layer, including metric definitions, dimensions, joins, and entity relationships across product, subscription, and lifecycle data
 * Build and maintain BI artifacts - models, explores, and dashboards - on top of the semantic layer for teams across the company
 * Build and curate certified metrics and queries that power AI-assisted, natural-language data querying, and improve answer accuracy over time
 * Partner with stakeholders to resolve conflicting metric definitions and document the agreed source of truth
 * Write clean, tested, version-controlled SQL and transformation code with data quality checks and clear documentation
 * Work closely with data engineering on upstream models, and with analysts on how the layer gets used