Senior Solution Engineer, Partnerships

Jobgether; Brasil; Remote; BRL 490,000 - 570,000; Full time

Benefits offered by this job

Remote work in Brazil

Base salary 490,000–570,000 BRL

Performance bonus 73,500–85,000 BRL

Equity offering

Mentorship and learning opportunities

Globally distributed team

Opportunity to influence partnerships

Travel within Brazil up to 25%

Job summary

Jobgether is seeking a Senior Solution Engineer, Partnerships based in Brazil to strengthen strategic SI partnerships and accelerate adoption of data and cloud solutions. You will translate complex technology into business value, support partner engagements, and shape joint strategies with partner architects and solution providers.

You will develop technical assets, run POCs, and present solutions to both technical teams and executives while traveling across Brazil up to 25% for partner

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Solution Engineer, Partnerships based in Brazil.

We are seeking an experienced Senior Solution Engineer to strengthen strategic partnerships with Systems Integrators (SIs) and accelerate the adoption of innovative data and cloud solutions. In this role, you will combine deep technical expertise with business acumen to help partners develop differentiated offerings and deliver value to their customers. You will work closely with partner architects, solution providers, and technical leaders to shape joint strategies, build solutions, and support customer engagements. From hands-on proof-of-concepts to executive-level presentations, you will help translate complex technology into compelling business outcomes. This is an opportunity to influence partner growth, collaborate across a global ecosystem, and contribute to the evolution of modern data platforms in a fast-paced, innovation-driven environment.

Accountabilities

• Develop technical strategies with Systems Integrators, solution providers, and practice leads to help them build and sell differentiated offerings on the platform.

• Build strong relationships with strategic SI partners, understand their business models and industry priorities, and identify opportunities where data and cloud technologies can create the greatest impact.

• Help develop, launch, and scale joint solution offerings with partner organizations.

• Provide technical product expertise, architectural guidance, and enablement to partner solution architects and technical communities.

• Collaborate with partners on customer engagements, creating technical assets and demonstrations, developing hands-on proof-of-concepts (POCs), and presenting solutions.

• Support partner sales and go-to-market initiatives through technical guidance, deal support, and executive-level presentations.

• Communicate complex technical concepts and business value propositions clearly to technologists and C-level stakeholders.

• Track partnership goals, program execution, and progress while identifying opportunities to strengthen partner engagement and market presence.

• Stay current with emerging technologies, platform capabilities, and industry developments to help partners deliver innovative solutions.

• Travel within Brazil, up to 25%, for partner engagement, enablement, customer support, and marketing events.

Requirements:

• 5+ years of industry experience designing, building, and supporting large-scale production systems.

• Strong hands-on experience developing and deploying production-grade data pipelines using PySpark or Scala and SQL, including ELT workflows.

• Experience designing scalable data pipelines with Spark and Kafka to ingest data from multiple systems.

• Familiarity with data integration and transformation platforms such as Matillion, Fivetran, Informatica, and dbt Cloud.

• Experience with database technologies and a solid understanding of data architecture.

• Hands-on knowledge of DevOps practices and CI/CD tools such as Azure DevOps, Jenkins, AWS CodePipeline, or Google Cloud Build.

• Strong experience with major cloud platforms, particularly Microsoft Azure, AWS, or Google Cloud.

• Experience with big data and cloud integration technologies such as Azure Data Factory, AWS Glue, and AWS Lambda.

• Strong computer science fundamentals, including data structures, algorithms, and distributed systems.

• Ability to work effectively with cross-functional teams, product managers, partners, and technical stakeholders.

• Excellent communication and presentation skills, with the ability to engage both technical audiences and senior executives.

• Fluency in Portuguese and English, both written and spoken.

• Bachelor's, master's, or PhD degree in Computer Science or a related field.

Nice to have:

• Experience with AI and machine learning use cases.

• Passion for improving developer experience, with previous experience in developer platforms, developer experience, or developer productivity.

• Fluency in multiple programming languages.

• Knowledge of database internals.

• Experience working with large Systems Integrators and developing strategic technology partnerships.

Benefits:

• Full-time employment.

• Remote work opportunity in Brazil.

• Base salary of R$490,000-R$570,000.

• Performance bonus of R$73,500-R$85,000.

• Equity offering.

• Mentorship and opportunities to learn from a diverse, globally distributed team.

• Collaborative environment that encourages knowledge sharing, professional growth, and innovation.

• Opportunity to contribute to strategic partnerships and large-scale technology initiatives.

• Travel within Brazil of up to 25% as part of the role.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.