Tech Stack

Description

You will architect and implement the corporate data model focused on the customer journey, ensuring consistency, governance, and reusability across domains. You will partner with Product, Marketing, RevOps, and other squads to deliver scalable data solutions that enable an integrated view of the customer journey (e.g., Elo360 initiative).

Requirements

• Consolidated experience in data engineering, architecture, or analytics
• Experience in digital product or continuous operation companies
• Practical experience with customer unification, entity modeling, or identity resolution
• Strong analytical and corporate data modeling skills (dimensional, normalized, semantic layers)
• Solid knowledge of data governance, quality, metadata, and lifecycle
• Experience with cloud data warehouses (e.g., BigQuery) and data pipelines
• Proficiency in SQL and modern data engineering practices (ELT, versioning, testing)

Responsibilities

• Conduct technical and architectural discovery for corporate data initiatives
• Define and evolve the corporate identity model and entity relationships
• Design corporate data modeling, transformation rules, and reconciliation
• Implement proofs of concept and incremental production solutions
• Define data quality, reliability, and governance criteria
• Collaborate on standards for reusable analytical data products
• Produce technical documentation to enable autonomous data consumption