Databricks Project Manager (Remote - Latam) at Jobgether

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Project Management, Databricks, Data Engineering, Analytics, ETL, ELT, Apache Spark, Python, Scala, SQL, Cloud Integration, Delta Lake, MLflow, Databricks Notebooks, Data Quality, Machine Learning

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Databricks Project Manager in Latin America. We are seeking an experienced and motivated Project Manager to lead Databricks-based data engineering and analytics projects. In this role, you will coordinate cross-functional teams, work closely with data scientists and engineers, and ensure successful delivery of data-driven solutions aligned with business objectives. You will manage ETL/ELT pipelines, optimize workflows, and support cloud integration while driving operational efficiency. This is a fully remote position in a dynamic environment where your work directly contributes to transforming raw data into actionable insights and measurable business impact. Accountabilities · Manage and oversee Databricks projects, including the design, deployment, and optimization of ETL/ELT pipelines using Apache Spark. · Coordinate cross-functional teams of data engineers, scientists, and stakeholders to ensure timely and successful project delivery. · Optimize performance of notebooks and workflows to improve efficiency and reliability. · Implement data quality, validation, and monitoring processes. · Support ML model deployment and integration within Databricks environments. · Ensure effective integration of Databricks with cloud platforms such as Azure, AWS, or GCP. · Maintain clear project documentation and track progress against milestones. · 4+ years of hands-on experience managing Databricks-based data engineering and analytics projects. · Proven expertise in building, optimizing, and maintaining ETL/ELT pipelines using Apache Spark. · Strong skills in Python, Scala, and SQL for data processing and workflow management. · Experience with cloud integration and platforms (Azure, AWS, or GCP) and tools like Delta Lake, MLflow, and Databricks Notebooks. · Ability to transform raw data into analytical structures and models ready for ML deployment. · Excellent coordination, communication, and problem-solving skills. · Conversational English at B2 level or higher is a plus. · Located in Latin America and able to work in a fully remote environment. · Competitive remuneration in USD. · 100% remote work environment with flexible scheduling. · Opportunities for professional growth and project ownership. · Exposure to cutting-edge data engineering, analytics, and machine learning technologies. · Dynamic, collaborative team environment supporting innovation and skill development. 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 evaluates your CV and LinkedIn profile, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company. The final decision and next steps (such as interviews or additional assessments) are made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Manage and oversee Databricks projects, including the design, deployment, and optimization of ETL/ELT pipelines. Coordinate cross-functional teams to ensure timely and successful project delivery.