Databricks Architect / Cloud Data Architect (Remote - Latam) at Jobgether

, , Argentina -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Cloud Data Architecture, Data Engineering, Data Governance, Apache Spark, Delta Lake, ETL Design, Performance Optimization, Data Modeling, Mentorship, Problem-solving, Communication, Cross-functional Collaboration

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Databricks Architect / Cloud Data Architect in Latin America. We are seeking an experienced Databricks Architect to design and implement scalable, secure, and high-performance cloud data platforms. In this role, you will define architecture standards, establish best practices for data pipelines, and ensure seamless integration across cloud ecosystems, data warehouses, and BI tools. You will mentor engineering teams, oversee architecture and code reviews, and evaluate new technologies to enhance platform performance. This position offers the opportunity to work in a fully remote environment, make a strategic impact on enterprise-level data solutions, and contribute to modern, data-driven decision-making across organizations. Accountabilities: Design and implement enterprise-level data architectures and pipelines using Databricks. Establish best practices for data ingestion, storage, processing, and analytics. Integrate Databricks with cloud ecosystems, data warehouses, and BI tools. Ensure data governance, security, and compliance standards are adhered to. Mentor engineers and lead architecture and code reviews to maintain quality standards. Evaluate and recommend new tools and technologies to optimize the data platform. 5–10+ years of experience in data engineering or architecture roles. Proven experience designing large-scale Databricks or Spark-based solutions. Strong expertise in Databricks, Delta Lake, Apache Spark, and distributed computing. Hands-on experience with data modeling, ETL design, and performance optimization. Familiarity with data governance, security, and compliance frameworks. English level B2 or higher (conversational). Strong problem-solving, mentorship, and communication skills for cross-functional collaboration. 100% remote work from Latin America. Competitive remuneration in USD. Opportunities for professional growth and career development. Exposure to cutting-edge cloud data technologies and large-scale enterprise projects. Collaborative, fully remote team environment with mentorship opportunities. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI thoroughly analyzes your CV and LinkedIn profile, evaluating your skills, experience, and achievements. 📊 It compares your profile against the job’s core requirements and past success factors to calculate a match score. 🎯 The top 3 candidates with the highest match are automatically shortlisted. 🧠 When necessary, our human team may perform additional review to ensure no strong candidate is overlooked. The process is transparent, skills-based, and unbiased, focusing solely on your fit for the role. Once the shortlist is completed, it is shared with the hiring company, who then determines next steps such as interviews or additional assessments. Thank you for your interest! #LI-CL1

Responsibilities

Design and implement enterprise-level data architectures and pipelines using Databricks. Establish best practices for data ingestion, storage, processing, and analytics while ensuring data governance and security standards are met.