Lead Data Engineer – Onsite

Description

• Define and evolve the data architecture, ensuring scalability and alignment with technology plan.
• Design and implement the Data Platform (Salesforce Data 360), coordinating implementation partners, Olocip, and internal team.
• Establish data governance model: quality, lineage, security, regulatory compliance (GDPR).
• In-depth audit of existing solutions: data lake, golden data record, key integrations (SSO, CRM, ERP).
• Generate technical documentation as basis for knowledge transfer.
• Act as PM for complex data projects (Data Platform, Phase 4 of Data Lake, integrations with new ERPs).
• Coordinate external suppliers and implementers, ensuring compliance with deadlines, technical quality, knowledge transfer.
• Support development of reporting layers in Power BI, establishing criteria for data sources and reporting architecture.
• Lead or supervise integrations between data lake and core systems: ERP Finance, ERP Retail, Salesforce CRM and Marketing Cloud.

Qualifications

• University degree in Computer Engineering, Mathematics, Statistics, Telecommunications or a related discipline.
• Postgraduate training in Data Engineering, Cloud Architecture or Data Management is an asset.
• Azure proficiency (Data Lake, Data Factory, Synapse, or equivalent). Azure certifications (AZ-900, DP-203, or equivalent) are differentiating factors.
• Solid knowledge of SQL and at least one data‑oriented programming language (Python preferred).
• Knowledge of modern data architectures: medallion architecture, data mesh, lakehouse.
• Ability to audit third‑party code, pipelines, and integrations using own criteria.
• Familiarity with Salesforce ecosystem (Sales, Marketing Cloud, Data 360) as a data consumption layer.

Essential Experience

• Minimum 5 years in data engineering, data architecture, or similar roles.
• Demonstrable experience with Azure Data Lake or equivalent platforms (AWS, GCP) in production environments.
• Experience designing and implementing data integrations between heterogeneous systems (ERP, CRM, digital platforms).
• Experience managing or coordinating external data partners/providers.
• Experience in Power BI projects or other BI/reporting tools connected to complex data layers.

Highly Valued

• Experience implementing Customer Data Platforms (CDP): Salesforce Data Cloud/Data 360, Segment, mParticle or similar.
• Experience in entertainment, sports, retail or digital media sectors with high user base and fan/customer behavior data.
• Led processes of internalizing technical capabilities.
• Experience building or developing data teams from initial stages.

Skills

• Communication with external partners.
• Effective communication with non‑technical profiles.
• Ownership mindset: doesn’t delegate what can be resolved, doesn’t scale what can be managed.
• Proactivity.
• Results‑oriented approach in environments with limited resources and multiple simultaneous priorities. xqbhyrx
• Adaptability.

Level of Experience (years)

Senior (5+ years of experience)