Lead Data Engineer – Databricks

Lead Data Engineer managing Databricks projects and guiding implementation standards. Collaborating with teams to design complex ETL pipelines and dimensional data models, ensuring high-performance data integration.

Posted 6/1/2026full-timeRemote • 🇦🇷 ArgentinaSeniorWebsite

Tech Stack

Tools & technologies

AzureETLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account OZ Website LinkedIn All Job Openings 201 - 500 employees 🏢 Enterprise 🤖 Artificial Intelligence ☁️ SaaS Enterprise
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SaaS OZ is a premier digital consulting firm and trusted Microsoft solutions partner located in Florida. With over 25 years of experience, OZ specializes in delivering deep technical expertise and industry knowledge through a global delivery model. The company offers a range of services, including Azure solutions, Power Platform, artificial intelligence, enterprise integration, intelligent automation, data and analytics, and app innovation. OZ serves a diverse range of industries, such as travel and hospitality, healthcare insurance, technology, public sector, and retail, and is known for its tailor-made, Microsoft-powered solutions to address unique business challenges. OZ also provides an on-demand talent studio to access certified IT professionals. It has built a reputation as a reliable partner for over 370 companies, offering services that enhance business agility and innovation. Lead Data Engineer – Databricks 🔥 0 minutes ago 🇦🇷 Argentina – Remote ⏰ Full Time 🟠 Senior 🚰 Data Engineer Azure ETL Tableau Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Data Engineer – Microsoft Fabric 🕒 2 days ago MUTT DATA 51 - 200 🤖 Artificial Intelligence 📡 Telecommunications Website LinkedIn All Job Openings Senior Data Engineer at Mutt Data developing cutting-edge Machine Learning solutions and data infrastructures for innovative projects. 🇦🇷 Argentina – Remote ⏰ Full Time 🟠 Senior 🚰 Data Engineer Python Spark Tableau Data Engineer – Mid-Level 🕒 2 days ago Valtech 5001 - 10000 🤝 B2B ☁️ SaaS Website LinkedIn All Job Openings Data Engineer at Valtech creating reliable data pipelines for global projects. Engaging in collaborative problem-solving and data-driven decision making. 🇦🇷 Argentina – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer SQL Snowflake Data Architect 🕒 3 days ago Solvd, Inc. 501 - 1000 ☁️ SaaS 🤝 B2B 🏢 Enterprise Website LinkedIn All Job Openings Snowflake Data Architect responsible for end-to-end architecture of a workforce intelligence platform. Joining Solvd, an AI-native consulting firm, to deliver transformative technology solutions. 🇦🇷 Argentina – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS Azure Cloud ETL Google Cloud Platform Data Engineer 🕒 3 days ago Solvd, Inc. 501 - 1000 ☁️ SaaS 🤝 B2B 🏢 Enterprise Website LinkedIn All Job Openings Data Engineer focused on migrating ETL processes to Snowflake while managing documentation and data quality checks. Collaborate with global teams on AI-driven projects in an inclusive environment. 🇦🇷 Argentina – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer ETL Informatica Java Python SQL SSIS Senior Data Engineer 🕒 6 days ago Blend360 501 - 1000 🤖 Artificial Intelligence 🏢 Enterprise Website LinkedIn All Job Openings Senior Data Engineer designing and implementing scalable data solutions for enterprise initiative at AI services provider. Collaborating on data pipelines, models, and ensuring data quality across domains. 🇦🇷 Argentina – Remote 💰 $100M Private Equity Round on 2022-08 ⏰ Full Time 🟠 Senior 🚰 Data Engineer AWS PySpark Python View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

DatabricksETL pipelinesmedallion architecturedimensional modelingdata ingestiondata transformationdata integrationdata qualitydata visualizationKPI frameworks

Soft Skills

communicationself-starterinitiativecollaborationproblem-solvingmentoringknowledge sharingconstructive feedbackadaptabilityempathy

Certifications

Databricks certification