Senior Data & Analytics Engineer, Domain Enablement

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain Silver and Gold data models, domain marts, curated datasets, and semantic assets for priority domains being onboarded to Databricks.

• Collaborate with business stakeholders to convert domain requirements and KPI definitions into governed, testable, and reusable transformation logic.

• Implement 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.

• Provide support for semantic views and curated layers utilized by BI tools, Databricks SQL, and Genie or similar AI/BI experiences.

• Work across domain boundaries where G&A, GTM, workforce, and product-adjacent concepts overlap.

• Incorporate data sensitivity, classification, and approved usage in modeling decisions, joins, and semantic exposure.

• Evaluate and enhance partner-delivered or domain-contributed data models to ensure production readiness and alignment with enterprise definitions.

• Assist domain teams in evolving into self-service analytics through patterns, documentation, examples, and technical guidance.

⛳️ Requirements

• A minimum of 5 years of experience in analytics engineering, BI engineering, data engineering, or a combined modeling and transformation role.

• Proficient in dimensional modeling and semantic design, including facts, dimensions, grain, conformed dimensions, and user-friendly analytical structures.

• Strong SQL expertise and familiarity with modern cloud data platforms such as Databricks.

• Capability to translate vague business requirements into clear, auditable, and reusable data models.

• Fluency in data engineering across Silver-to-Gold transformations, testing, performance tuning, and production deployment contexts.

• Understanding of business meaning and data usage constraints.

• Excellent communication skills and comfort in 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: Familiarity with semantic layer tooling, governed metrics, or AI/BI consumption layers.

• Preferred: Background in regulated or security-sensitive industries.

• Offers are 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.