Senior Data & Analytics Engineer, Domain Enablement (R5536)

Shield AI
United States
Workplace: RemoteFull timeUSD 120,000 - 180,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsSkills: ["Communication","Stakeholder management","Ability to translate requirements","Documentation and guidance"]

Build governed Silver and Gold datasets and reusable semantic assets that enable business domains on the Databricks lakehouse. Translate domain requirements and KPI definitions into auditable transformation logic, applying enterprise modeling standards, naming conventions, and semantic definitions. Partner with stakeholders across G&A/GTM areas (Accounting, Program Finance, RevOps, Marketing, HR) to deliver durable curated layers for BI and AI/BI consumption, while reviewing partner/domain-contributed models for production readiness.

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FursaFursa
Shield AI
Shield AI
3 days ago

Senior Data & Analytics Engineer, Domain Enablement (R5536)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Build governed Silver and Gold datasets and reusable semantic assets that enable business domains on the Databricks lakehouse. Translate domain requirements and KPI definitions into auditable transformation logic, applying enterprise modeling standards, naming conventions, and semantic definitions. Partner with stakeholders across G&A/GTM areas (Accounting, Program Finance, RevOps, Marketing, HR) to deliver durable curated layers for BI and AI/BI consumption, while reviewing partner/domain-contributed models for production readiness.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key 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, semantic definitions, and promotion rules, contributing improvements back to those standards.
  • •Create reusable domain patterns and analytical building blocks that enable domain teams (e.g., FP&A, RevOps, Marketing) to operate more self-service.
  • •Ensure data sensitivity, classification, and approved use are reflected in modeling choices, joins, and semantic exposure, and review partner/domain models for production readiness.

Pay and Benefits

Salary: USD 120,000 - 180,000 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of experience in analytics engineering, BI engineering, data engineering, or a hybrid modeling/transformation role.
  • •Strong dimensional modeling and semantic design (facts, dimensions, grain, conformed dimensions).
  • •Strong SQL skills and comfort with cloud data platforms, specifically Databricks.
  • •Ability to translate ambiguous business requirements into precise, auditable, reusable data models.
  • •Experience building modular, tested transformation pipelines on Databricks (SQL/PySpark, Delta Live Tables or equivalent).
Experience:5+ yearsAnalytics engineeringBI engineeringData engineeringDatabricksSemantic layerFinanceRevOpsMarketing analyticsHR analyticsRegulated industries
Skills:CommunicationStakeholder managementAbility to translate requirementsDocumentation and guidance
Tech Stack:DatabricksSQLPySparkDelta Live TablesDatabricks SQLBI toolsSemantic layer toolingAI/BI

Company Brief

Shield AI
Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.
Industry: Defense Technology
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: San Diego, United States
Founded: 2015
WebsiteLinkedIn