Sobre

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Solutions Architect (Managed Services) in Latin America.
• We are seeking a highly experienced Solutions Architect to lead and optimize cloud-native data platform solutions for enterprise clients. In this role, you will design, implement, and manage large-scale projects on platforms such as Snowflake, AWS, and Azure, ensuring performance, security, and scalability. You will serve as a trusted advisor to clients, mentor technical teams, and drive operational excellence across managed services engagements. The ideal candidate has a strong background in solutions architecture, cloud platforms, data integration, and platform automation, and thrives in a collaborative, customer-focused environment. This remote position allows you to work flexibly from anywhere in Latin America while contributing to complex, high-impact projects.
• Accountabilities
• Lead the architecture, design, and deployment of large-scale cloud-native data platform projects.
• Guide technical teams through data migrations, integrations, and performance optimization efforts.
• Identify opportunities for platform automation, optimization, and operational improvement.
• Implement secure and compliant platform setups, including data governance best practices.
• Plan for changes in upstream data sources and evolving technologies to maintain scalable solutions.
• Serve as a trusted advisor to clients, providing strategic guidance and resolving technical challenges.
• Collaborate with sales, engineering, and support teams to ensure smooth project delivery.
• Mentor junior engineers and promote a culture of continuous learning and technical excellence.
• 10+ years of hands-on experience architecting, designing, and managing enterprise cloud-native data platforms.
• Proven client-facing experience, presenting to executive stakeholders and producing detailed technical documentation.
• Deep expertise in Snowflake, Redshift, Azure Data Warehouse, and other enterprise data platforms.
• Strong knowledge of AWS and Azure services, including S3, ADLS, Kinesis, Data Factory, DBT, and Kafka.
• Advanced SQL skills, including query writing, debugging, and performance tuning.
• Experience with DevOps and Infrastructure-as-Code tools, such as Terraform or CloudFormation.
• Proficiency with CI/CD pipelines and automated deployment frameworks (e.g., Bitbucket, GitHub, Flyway, Liquibase).
• Familiarity with data integration and migration tools such as Fivetran, Matillion, Spark, or AWS Data Migration Services.
• Strong communication and leadership skills, capable of mentoring teams and managing complex projects.
• Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degrees or certifications preferred.
• Certifications such as Snowflake SnowPro Core or equivalent are a plus.
• Python proficiency for task automation and operational efficiency is desirable.
• Remote-first work environment with flexible schedule.
• Competitive compensation and comprehensive benefits package.
• Generous paid time off plan and national holidays.
• Collaborative culture emphasizing autonomy, creativity, and transparency.
• Professional development opportunities through advanced training, certifications, and mentorship programs.
• Exposure to cutting-edge cloud data technologies and enterprise-scale projects.
• 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 evaluates your CV and LinkedIn profile thoroughly, 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 3 candidates with the highest match to the role.
• 🧠 When necessary, our human team may perform an additional manual 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, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
• Thank you for your interest!
• #LI-CL1