# Senior Data & Analytics Engineer, Domain Enablement

**Company:** [Shield AI](https://hotfix.jobs/companies/shield-ai)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $120k – $180k/yr
**Experience:** 5+ years
**Skills:** SQL, Databricks, pyspark, delta live tables, dimensional modeling, semantic layer, Data Modeling, Data Warehousing, BI Tools, performance tuning, data testing, Data Governance
**Posted:** 2026-08-12

> Builds governed Silver and Gold data models, semantic assets, and reusable transformation patterns on Databricks for business domains such as finance, RevOps, marketing, and HR. Requires 5+ years in analytics or data engineering, strong SQL and dimensional modeling expertise, and effective stakeholder collaboration.

## Job Description

## Responsibilities

- Build and maintain Silver and Gold data models, domain marts, curated datasets, and semantic assets for priority domains onboarding to Databricks.
- Partner with business stakeholders to translate domain requirements and KPI definitions into governed, testable, and reusable transformation logic.
- Apply enterprise modeling standards, naming conventions, semantic definitions, and promotion rules.
- Create reusable domain patterns and analytical building blocks for self-service analytics across FP&A, RevOps, Marketing, and other business teams.
- Support semantic views and curated layers consumed by BI tools, Databricks SQL, and Genie or related AI/BI experiences.
- Work across domain boundaries where metrics overlap, particularly across G&A, GTM, workforce, and product-adjacent concepts.
- Reflect data sensitivity, classification, and approved use in modeling choices, joins, and semantic exposure.
- Review and refine partner-delivered or domain-contributed data models for production readiness, clarity, and alignment with enterprise definitions.
- Provide patterns, documentation, examples, and technical guidance to help domain teams develop self-service analytics capabilities.

## Required Qualifications

- **5+ years** of experience in analytics engineering, BI engineering, data engineering, or a hybrid modeling and transformation role.
- Strong dimensional modeling and semantic design skills, including facts, dimensions, grain, conformed dimensions, and business-friendly analytical structures.
- Strong SQL skills and comfort working with modern cloud data platforms such as Databricks.
- Ability to translate ambiguous business requirements into precise, auditable, and reusable data models.
- Data engineering fluency across Silver-to-Gold transformations, testing, performance tuning, and production deployment.
- Ability to understand business meaning and data usage constraints, not only technical transformations.
- Strong communication skills and comfort working directly with business stakeholders.

## Preferred Qualifications

- Experience in finance, program finance, RevOps, marketing analytics, HR analytics, product analytics, or another cross-functional business domain.
- Experience building modular, tested transformation pipelines on Databricks using SQL, PySpark, Delta Live Tables, or equivalent technologies.
- Experience with semantic layer tooling, governed metrics, or AI/BI consumption layers.
- Experience in regulated or security-sensitive industries.
- Ability and interest to expand from G&A/GTM domains into technical domains such as Product or Engineering.

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**Apply:** https://hotfix.jobs/jobs/4998ee9a-8726-4a9d-ae55-813ed5138281
**Canonical:** https://hotfix.jobs/jobs/4998ee9a-8726-4a9d-ae55-813ed5138281