Senior Databricks Data Analytics Engineer Domain-focused

Shield; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Shield AI is seeking a Senior Data & Analytics Engineer to connect business domains to the Databricks platform, delivering governed Silver and Gold assets, reusable semantic patterns, and domain-ready analytical models.

The role sits between data engineering and analytics engineering, emphasizing durable datasets and self-service analytics for domains like G&A, GTM, and HR, while aligning with enterprise standards.

Qualifications

• 5+ years in analytics/BI/data engineering or hybrid modeling roles.
• Strong dimensional modeling and semantic design skills.
• Proficient SQL and cloud platforms like Databricks.
• Ability to translate business requirements into auditable data models.
• Experience with governance and production deployment.

Responsibilities

• Build and maintain Silver and Gold data models, domain marts, curated datasets, and semantic assets for priority domains onboarding to Databricks.
• Translate domain requirements and KPI definitions into governed, testable, and reusable transformation logic.
• Apply enterprise modeling standards, naming conventions, semantic definitions, and promotion rules, contributing practical improvements back into those standards.
• Create reusable domain patterns and analytical building blocks for FP&A, RevOps, and Marketing to enable self-service.
• Support the design of semantic views and curated layers for BI tools and Databricks SQL.
• Work across domain boundaries when metrics overlap or interact, especially for G&A, GTM, workforce, and product-adjacent concepts.
• Ensure data sensitivity, classification, and approved use are reflected in modeling choices and semantic exposure.
• Review partner-delivered or domain-contributed data models to ensure they are production-worthy and aligned with enterprise definitions.
• Help domain teams grow into more self-service analytics by providing patterns, documentation, and guidance rather than centralizing every request.

Skills

Analytics engineering

SQL

Databricks

Domain modeling

Stakeholder collaboration

Tools

Databricks

Delta Live Tables

SQL

Semantic design

Job description

Shield AI is seeking a Senior Data & Analytics Engineer to connect business domains to the Databricks platform, delivering governed Silver and Gold assets, reusable semantic patterns, and domain-ready analytical models.

The role sits between data engineering and analytics engineering, emphasizing durable datasets and self-service analytics for domains like G&A, GTM, and HR, while aligning with enterprise standards.