Senior Data Engineer - Data Leader

Description

Job Summary: We are seeking a Data Engineer to technically lead and define data architectures on Azure and Databricks, with autonomy in decision-making. Key Highlights: 1. Technical role with autonomy in architecture and leadership. 2. Technically lead the data team on Azure and Databricks. 3. Experience with the Azure, Databricks, and Delta Lake ecosystem. We are looking for a Data Engineer who wants to assume a technical role with autonomy in architectural and technical leadership decisions within a modern data team built on Azure and Databricks. Key Responsibilities Define and validate data project architectures on Azure (ADLS + Databricks) using the Medallion pattern (Bronze / Silver / Gold). Technically lead the data team: review designs, approve critical pipelines, and make architectural decisions. Build and optimize data ingestion and transformation pipelines across Bronze, Silver, and Gold layers. Design and implement the data governance model: roles, quality policies, data dictionary, and catalog with lineage. Manage access to sensitive data (PII) via masking, tokenization, and RBAC policies in Azure. Translate business requirements into data architecture decisions. Coordinate with IT, security, and external vendor teams. Produce high-quality technical documentation: data flow diagrams, ADRs, and team standards. Identify technical debt and propose progressive improvement plans. Technical Skills Azure Data Lake Storage Gen2 (ADLS) Azure Databricks + Unity Catalog Azure Data Factory (ADF) Data Governance (Mandatory) Experience implementing the Medallion architecture in production environments Candidate Profile Experience: 2–3 years in data engineering or data architecture roles. Mid-level profile with technical leadership capability. Ability to autonomously make architectural decisions on a day-to-day basis. Experience with the Azure + Databricks + Delta Lake ecosystem. What We Offer: Salary: $4,500,000 to 7,000,000 Benefits card Contract: Indefinite term Work mode: Hybrid / Remote Working hours: Monday to Friday. -Requirements- Minimum education: University / Professional degree 3 years of experience Keywords: engineers, ingeniera, ing, engineer, data, senior, sr, jefe, gerente, manager, director, chief, lead, jefatura, regente