Senior Data & Analytics Engineer, Domain Enablement (R5536)

About the role

The Senior Data & Analytics Engineer, Domain Enablement is a hybrid data and analytics engineering role focused on building governed Silver and Gold data assets, semantic models, and domain‑ready analytical datasets on a modern Databricks platform. Working across domains such as Accounting, Finance, Revenue Operations, Marketing, and HR, the engineer partners with business stakeholders to translate evolving KPI definitions into reusable, self‑service data products while ensuring enterprise‑wide consistency, governance, and scalability.

Requirements

• 5+ years experience in analytics engineering, BI engineering, data engineering, or a hybrid role combining data modeling and transformation.
• Strong knowledge of dimensional modeling and semantic design, including facts, dimensions, data grain, conformed dimensions, and business‑oriented analytical structures.
• Advanced SQL skills and experience with modern cloud data platforms, particularly Databricks.
• Ability to translate ambiguous business requirements into precise, auditable, reusable, maintainable data models.
• Strong data engineering knowledge, including Silver‑to‑Gold transformations, data testing, performance optimization, and production deployment practices.
• Ability to understand business meaning, context, and usage restrictions associated with data rather than focusing solely on technical transformations.
• Excellent communication and stakeholder‑management skills, able to work effectively with evolving business teams.
• Experience in finance, program finance, Revenue Operations, marketing analytics, HR analytics, product analytics, or another cross‑functional business domain (preferred).
• Experience developing modular and tested transformation pipelines using Databricks SQL, PySpark, Delta Live Tables, or equivalent technologies (plus).
• Experience with semantic‑layer technologies, governed metrics, or AI/BI consumption layers (preferred).
• Experience working in regulated or security‑sensitive environments (advantageous).
• Willingness and ability to expand from G&A and GTM‑focused domains into areas such as Product or Engineering as needs evolve.