Lead Data Engineer - Databricks

OZ; Argentina; Presencial; ARS 2.000.000 - 3.200.000; Jornada completa

Descripción de la vacante

OZ is seeking a Lead Data Engineer to own solution design, mentor engineers, and steer data platform development. You will design and optimize Databricks ETL pipelines, implement medallion data models, and enable analytics-ready views across business domains.

Collaborating with data stewards, IT, and business stakeholders, you will drive architectural decisions, ensure data quality, and push for best practices while documenting knowledge for sustainable delivery.

Formación

• 5+ years delivering in Databricks environments
• Experience with medallion architecture in data platforms
• Strong communication and collaboration skills
• Experience with BI tooling (Power BI/Tableau/Qlik)

Responsabilidades

• Serve as technical lead and mentor engineers
• Design, develop, and maintain ETL pipelines in Databricks
• Implement medallion architecture data models (raw, curated, trusted)
• Develop dimensional models for analytics dashboards and KPIs
• Collaborate with data stewards, IT, and stakeholders to translate requirements
• Contribute to architectural decisions and best practices
• Address data quality issues and bottlenecks early
• Support knowledge transfer and documentation

Conocimientos

Databricks

Medallion Architecture

Dimensional Modeling

ETL Orchestration

Business Acumen

Self-Starter

Clear Communication

Team Collaboration

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Databricks

Azure Data Lake

Data Factory

Power BI

Tableau

Qlik

Descripción del empleo

At OZ we are looking for a Lead Data Engineer who will:

• Serve as the technical lead for the project - owning solution design decisions, guiding implementation standards, and mentoring other engineers through coaching, reviews, and knowledge sharing
• Design, develop, and maintain complex ETL pipelines using Databricks, ensuring scalable, high-performance data integration across multiple source systems
• Implement and optimize medallion architecture within Databricks, establishing clear data zones (raw, curated, trusted) to support governed, enterprise-wide reporting
• Develop and refine dimensional data models that enable unified, analytics-ready views of business domains and support automated dashboarding and KPI frameworks
• Collaborate closely with cross-functional teams (data stewards, IT, business stakeholders) to translate operational requirements into technical solutions, proactively clarifying dependencies and driving alignment
• Contribute to architectural decisions, leveraging your expertise to recommend best practices, challenge assumptions, and ensure data platform durability and flexibility
• Identify and address integration challenges, data quality issues, and process bottlenecks early, providing actionable insights and thoughtfully pushing back when project risks or inefficiencies arise
• Support knowledge transfer and documentation, empowering colleagues and clients to maintain and evolve data solutions independently

Requirements

• Databricks Expertise: 3-5 years of hands-on experience developing in Databricks, with relevant certifications (attach proof). Proven ability to build, optimize, and troubleshoot production-grade ETL pipelines
• Medallion Architecture: Demonstrated experience designing and implementing medallion data models (raw, curated, trusted zones) in Databricks environments
• Dimensional Modeling: Strong skills in developing dimensional models to support business intelligence, reporting, and single source of truth requirements
• Complex ETL Development: Advanced proficiency in orchestrating data ingestion, transformation, and integration workflows across multiple systems and formats
• Business Acumen: Ability to understand operational requirements, translate them into technical deliverables, and communicate the business impact of engineering decisions
• Self-Starter: Demonstrated capacity to take initiative, work independently, and drive projects forward in ambiguous or evolving contexts
• Azure Ecosystem (Preferred): Experience with Azure Data Lake, Data Factory, and related services is a strong advantage but not required
• Data Visualization Design (Preferred): Experience with human centric design principles with data visualization tools such as Power BI, Qlik, or Tableau
• Clear Communication: Proactive, constructive communication skills with the confidence to provide feedback, challenge assumptions, and advocate for best practices
• Embrace OZ Digital's values in daily work: adapting and learning, focusing on results, working collaboratively, maintaining a positive outlook, and leading with empathy
• Actively participate in a culture of mutual support, continuous improvement, and openness to new ideas
• Demonstrate the ability to provide insights and push back constructively when necessary, always with the goal of achieving the best outcomes for the team and project