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.

In this role, you will serve as a strategic technical leader within a managed services team, delivering cloud-native data platform solutions that drive measurable business value. You will work closely with clients and internal teams to architect, implement, and optimize scalable, secure, and high-performing data platforms. The position requires hands-on expertise across cloud ecosystems, data integration tools, and platform management, combined with the ability to guide teams and influence executive stakeholders. You will ensure platforms are aligned with operational best practices while championing continuous improvement and automation. This is a high-impact role, balancing technical depth, client engagement, and mentorship in a dynamic, remote-first environment that values innovation and collaboration.

Accountabilities

Lead the design, architecture, and implementation of large-scale data platform projects across cloud environments such as Snowflake, AWS, and Azure.
Guide technical teams through data migrations, integrations, and platform performance optimization.
Identify opportunities for automation and operational efficiency to maximize platform ROI.
Ensure robust platform security and adherence to data governance best practices.
Adapt platform architectures in response to evolving technology and upstream data changes.
Manage multiple client engagements, delivering projects on time and maintaining high customer satisfaction.
Provide mentorship and technical guidance to junior engineers, fostering a culture of learning and excellence.

Requirements

10+ years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms.
Proven experience in client-facing roles, including presenting to executives and producing detailed solution documentation.
Extensive knowledge of enterprise data platforms (Snowflake, Redshift, Azure Data Warehouse) and performance optimization.
Expertise in cloud services across AWS, Azure, and Snowflake ecosystems (S3, ADLS, Kinesis, Data Factory, DBT, Kafka).
Strong proficiency in SQL, including writing, debugging, and optimizing complex queries.
Experience with DevOps and infrastructure-as-code tools (Terraform, CloudFormation) and CI/CD pipelines.
Proficiency with data integration and ETL tools such as AWS Data Migration Services, Azure Data Factory, Matillion, Fivetran, or Spark.
Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degrees or relevant certifications preferred.

Preferred: Snowflake SnowPro Core certification, Python proficiency for automation, hands-on CI/CD deployment experience.

Benefits

Remote-first work environment with flexibility across Latin America.
Casual, award-winning culture emphasizing autonomy, creativity, and transparency.
Competitive compensation with a comprehensive benefits package.
Generous PTO and 10 national holidays.
Opportunities for accelerated learning and professional development through advanced training and certifications.
Inclusive and diverse workplace committed to supporting all employees.

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 three 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.

This 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 offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team.

Thank you for your interest!

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