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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Platform Engineer – Financial Services in Brazil.
We are seeking a highly skilled Senior Data Platform Engineer to design, optimize, and maintain enterprise-scale data platforms supporting mission-critical financial systems. This role focuses on SQL Server environments, cloud-native infrastructure, and AI-enabled development to deliver high-performance data solutions for analytics, trading, and operational workflows. You will architect scalable data pipelines, integrate APIs, and implement advanced security and availability strategies while collaborating across engineering, product, and operations teams. The ideal candidate thrives in a fast-paced, innovation-driven environment, enjoys solving complex technical challenges, and is eager to contribute to AI/ML-enabled initiatives. This position offers autonomy, exposure to large-scale financial systems, and the opportunity to shape the organization’s data engineering strategy.
Accountabilities:
- Lead the design, optimization, and administration of SQL Server environments, including HA/DR strategies, replication, and performance tuning.
- Implement enterprise-grade database security, including TDE, Row-Level Security, and RBAC governance controls.
- Build and maintain scalable data pipelines and integrations using Python, SQLAlchemy, Pandas, and orchestration frameworks such as Airflow.
- Manage cloud-based infrastructure using AWS and Infrastructure as Code tools (Terraform/CDK), supporting serverless and microservice architectures.
- Develop RESTful APIs to facilitate data exchange and platform interoperability.
- Leverage AI-assisted development tools to accelerate engineering workflows and optimize data solutions for AI/ML workloads.
- Collaborate cross-functionally with engineering, product, and operations teams to ensure alignment with business objectives.
- 5+ years of software development experience, with 4+ years of deep SQL Server expertise.
- Expert knowledge of OLTP/OLAP systems, ETL/ELT patterns, and enterprise database architecture.
- Strong proficiency in Python with solid OOP principles and experience with orchestration tools (Airflow preferred).
- Experience implementing CI/CD pipelines and DataOps best practices.
- Proficient with Git-based workflows and automated testing (unit and integration).
- Strong understanding of cloud platforms (AWS) and Infrastructure as Code (Terraform/CDK).
- Excellent communication skills, capable of translating complex technical concepts for business stakeholders.
- Experience working in Agile/Scrum environments with tools like Jira.
- Interest in AI-driven engineering practices and cloud-native database strategies.
- 100% remote work within Latin America, offering flexibility and autonomy.
- Highly competitive compensation paid in USD.
- Paid time off to ensure work-life balance and personal well-being.
- Opportunities to work on innovative, high-impact projects with leading U.S. financial companies.
- Collaborative environment with access to a diverse network of over 600 professionals across 25+ countries.
- Exposure to cutting-edge data engineering, AI/ML, and cloud-native technologies.
Requirements:
Benefits:
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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