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Описание вакансии
Текст:
TL;DR
Analytics Engineer (AI): Own and govern metric definitions, implement enforceable semantic layers, audit reporting assets, build data quality checks, and verify AI agent outputs with an accent on governance and technical depth. Focus on resolving conflicting metric definitions, maintaining data trustworthiness, and integrating AI tools into analytics workflows.
Location
Location: USA | Remote
Company
Deepgram is a leading Voice AI platform providing real-time speech-to-text and text-to-speech APIs, serving over 1,300 organizations with advanced voice-native foundation models.
What you will do
- Own the metric registry by establishing canonical metric definitions and resolving conflicts.
- Implement enforceable definitions in semantic layers and data catalogs, retiring outdated versions.
- Audit and reduce the reporting estate, establishing clear ownership.
- Build data quality checks including freshness, uniqueness, and referential integrity with assigned owners.
- Verify AI agent outputs against ground truth and maintain an inventory of data-accessing agents.
- Enable self-serve access to governed and trustworthy data for users and AI tools.
Requirements
- Must have 5+ years in analytics or related fields.
- Strong SQL skills including reverse-engineering undocumented logic.
- Direct ownership experience of semantic or metrics layers (dbt, Cube, LookML, or equivalent).
- Proven ability to resolve conflicting metric definitions and communicate clearly in writing.
- Experience evaluating LLM or AI agent outputs against ground truth.
- Experience with data catalogs, lineage tooling, and lakehouse architectures (Iceberg, Athena, Trino).
Nice to have
- Exposure to audit readiness, SOX, or financial controls environments.
- Experience with consumption or usage-based business models.
- Experience joining early-stage functions before processes existed.
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