SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Cloaked is a Series B-funded cybersecurity and privacy company protecting 10M+ identities through masked emails, phone numbers, payment cards, data removal services, and AI-powered call screening. The company serves 600k+ paying members and has screened 50M+ calls.
You will own the semantic layer at Cloaked—the governed set of metrics, entities, and relationships that power every dashboard, self-serve analysis, and AI-driven answer across the company. This is a builder's role focused on ensuring every number means the same thing regardless of who asks or which tool they use.
Key Responsibilities:
- 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, dashboards) on top of the semantic layer for teams across Product, Growth, Finance, and CX
- 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 semantic layer usage
The role emphasizes clarity, pushing back on vague metrics until well-defined, and shipping value to stakeholders. You'll work in a hybrid model at Cloaked's NYC headquarters with two floors, state-of-the-art kitchens, and frequent team outings.
Requirements:
- 3-5 years of experience in analytics engineering, BI engineering, or closely related role
- Strong SQL and solid dimensional data modeling skills
- Hands-on experience building semantic models in tools like Looker (LookML), Omni, dbt Semantic Layer, or Cube (fundamentals matter more than specific tool)
- Experience with dbt or similar transformation framework, Git-based workflows, and code review
- Familiarity with cloud data platforms (AWS/Athena, Snowflake, BigQuery, or similar)
- Fluent use of AI tooling (Claude, ChatGPT, etc.) to ship faster; excitement about structuring data for AI agent queries (LLM-driven analytics experience is a plus)
- Clear communication and comfort pushing back on vague metrics until well-defined
Preferred:
- Startup or growth-stage company experience
- Care and respect for customer privacy
- Collaborative, respectful working style
