Senior Data & Analytics Engineer, Domain Enablement

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Shield AI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🤖 Artificial Intelligence

🚀 Aerospace

🎖️ Defense

Artificial Intelligence • Aerospace • Defense

Shield AI is a leading developer of AI-driven military solutions, focusing on enhancing mission autonomy and battlefield awareness. Their platform, Hivemind, enables rapid deployment of intelligent systems for various defense applications, including drone operation and surveillance. With a commitment to utilizing advanced technology, Shield AI aims to protect service members and civilians by revolutionizing defense technologies through autonomous systems.

📋 Description

• 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, reusable transformation logic • Apply enterprise modeling standards, naming conventions, semantic definitions, and promotion rules • Create reusable domain patterns and analytical building blocks for FP&A, RevOps, and Marketing self-service analytics • Support semantic views and curated layers consumed by BI tools, Databricks SQL, and Genie or related AI/BI experiences • Work across domain boundaries where G&A, GTM, workforce, and product-adjacent concepts intersect • 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 and alignment with enterprise definitions • Help domain teams grow into self-service analytics through patterns, documentation, examples, and technical guidance

🎯 Requirements

• 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 with modern cloud data platforms such as Databricks • Ability to translate ambiguous business requirements into precise, auditable, reusable data models • Data engineering fluency across Silver-to-Gold transformations, testing, performance tuning, and production deployment contexts • Ability to understand business meaning and data usage constraints • Strong communication skills and comfort working directly with business stakeholders • Preferred: experience in finance, program finance, RevOps, marketing analytics, HR analytics, product analytics, or another cross-functional business domain • Preferred: experience with modular, tested Databricks transformation pipelines using SQL/PySpark, Delta Live Tables, or equivalent • Preferred: experience with semantic layer tooling, governed metrics, or AI/BI consumption layers • Preferred: experience in regulated or security-sensitive industries • Offers contingent on a cleared background and possible reference check

🏖️ Benefits

• Bonus • Benefits • Equity • Temporary benefits package applicable after 60 days of employment for temporary employees • Full-time regular employee offer package • Equal employment opportunity and accommodation support