Staff Data Engineer in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Engineer based in Brazil.

This is a high-impact opportunity for an experienced data engineering leader to help shape and modernize enterprise-scale data ecosystems. You will work at the intersection of data strategy, platform architecture, AI enablement, and engineering excellence, building robust solutions that support critical business operations. The role combines hands-on technical execution with architectural leadership, allowing you to influence data platforms from design through deployment. Operating in a collaborative, multidisciplinary environment, you will partner with engineering, analytics, AI, and product teams to deliver scalable, secure, and high-performing data solutions. This position is ideal for professionals who enjoy solving complex challenges, mentoring others, and driving innovation through modern cloud and AI-powered technologies.

• Define and lead data architecture strategies across data lakes, warehouses, pipelines, and enterprise data platforms.
• Design, build, and optimize scalable batch and real-time data processing systems that support business-critical applications.
• Establish and enforce data governance, quality standards, security controls, and compliance frameworks across the data ecosystem.
• Drive modernization initiatives focused on platform performance, scalability, operational efficiency, and cost optimization.
• Develop monitoring, logging, alerting, and automation capabilities to improve reliability and observability of data systems.
• Design and implement data contracts, event-driven architectures, and integrations with APIs, middleware, and third-party platforms.
• Lead the development of data infrastructure supporting AI and machine learning workloads, including feature stores, embeddings, vector databases, RAG pipelines, and training/inference workflows.
• Collaborate closely with technical and business stakeholders to align data strategy with organizational objectives.
• Establish engineering standards, best practices, and architectural guidelines that elevate data engineering quality across teams.
• Mentor and support junior and mid-level engineers while fostering a culture of technical excellence and continuous learning.
• Make strategic architectural decisions while balancing immediate delivery goals with long-term platform sustainability.

• 7+ years of professional experience in data engineering, including ownership of complex enterprise data platform initiatives.
• Strong background in distributed systems architecture and large-scale data platform design.
• Expert-level proficiency in Python, Scala, and SQL.
• Extensive experience with cloud-native data platforms, enterprise data warehouses, and modern data ecosystems.
• Advanced knowledge of data orchestration, transformation frameworks, and large-scale data processing technologies.
• Hands-on experience with real-time streaming technologies such as Kafka, Kinesis, Pub/Sub, or similar platforms.
• Strong expertise in data modeling, data integration, and data transformation methodologies.
• Deep understanding of data governance, quality assurance, compliance requirements, and security best practices.
• Experience implementing containerized environments, CI/CD pipelines, and automation processes for data platforms.
• Proven experience building and maintaining data pipelines for production AI and machine learning systems, including vector stores, embeddings, RAG workflows, feature stores, and training datasets.
• Demonstrated leadership experience mentoring engineers and influencing technical direction across teams.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Practical expertise using modern AI-assisted development tools to improve productivity and engineering outcomes.
• Excellent analytical thinking, problem-solving capabilities, and ability to navigate ambiguity in rapidly evolving environments.
• Experience with data mesh, data fabric architectures, lakehouse platforms, or enterprise governance frameworks is considered an advantage.
• Advanced English communication skills, both written and spoken.

• Competitive compensation package.
• Fully remote-friendly work environment within Brazil.
• Opportunity to work on cutting-edge AI and enterprise data initiatives.
• Exposure to modern cloud-native technologies and large-scale data platforms.
• Collaborative environment with highly experienced engineering professionals.
• Strong culture of technical excellence, mentorship, and continuous learning.
• Opportunities to influence architecture, strategy, and long-term platform direction.
• Access to advanced AI-powered development tools and modern engineering practices.
• Career growth opportunities through leadership, innovation, and high-impact project ownership.
• Flexible work arrangements that support autonomy and work-life balance.