Brazil
Verisure
Oracle
Solutions Engineer – Data & AI
Brazil
São Paulo, São Paulo, Brazil
PythonAWSGCP
Automatic translation. Check the original.
Job Description
Working in partnership with Sales Executives, Product, Engineering, Customer Success Engineers, and other cross-functional teams, you will be responsible for leading technical conversations with clients, understanding their data environments, proposing robust architectures, and driving successful adoption to maximize the value of Oracle solutions.
This position requires solid hands-on experience in production environments, the ability to handle complex architectures, and the skill to translate technical and business requirements into scalable, secure, and results-oriented solutions.
Responsibilities
Qualifications
Career Level - IC4
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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Key Responsibilities
- Conduct technical sales activities, including discovery meetings, demonstrations, workshops, proofs of concept, and executive presentations.
- Evaluate client data environments, including data sources, ingestion patterns, transformation, storage, governance, security, and analytical consumption.
- Define customized architectures involving Data Warehouse, Data Lake, Data Lakehouse, Analytics, Data Science, and Artificial Intelligence contexts.
- Support workload sizing estimates, performance, scalability, security, and cost estimations.
- Act as a bridge between business needs, technical requirements, and Oracle solution capabilities.
- Provide technical leadership to clients, guiding adoption strategies, implementation roadmaps, migration planning, and operational best practices.
- Create hands-on labs, technical materials, tutorials, and implementation playbooks.
- Anticipate technical risks and propose solutions to maximize the success of Oracle technology adoption.
- Collaborate with Product Engineering teams, sharing client feedback, needs for new features, and innovation opportunities.
- Deliver training, technical workshops, and presentations for clients, partners, the technical community, and events.
Required Technical Qualifications
- Hands-on experience with Python programming and Apache Spark in data platform project delivery, consulting, and production environments.
- Knowledge of modern data architecture, including data ingestion, transformation, orchestration, storage, governance, security, and consumption.
- Knowledge of solutions and patterns such as Data Warehouse, Data Lake, Data Lakehouse, Analytics, Data Science, and Artificial Intelligence.
- Experience with public clouds and public cloud data platforms like OCI (OGG, AI Data Lakehouse & AI Data Platform Workbench), AWS (Redshift), GCP (Bigquery), Databricks, and Snowflake.
- Familiarity with data governance, data catalog, data lineage, data quality, data privacy, and data masking.
- Experience in technical sales, pre-sales, solutions architecture, professional consulting, or cloud and data transformation projects.
- Ability to build and present technical architectures to various audiences, including engineering teams, data teams, security teams, executive leadership, and business areas.
- Bachelor's degree in Information Systems, Computer Science, Engineering, or a related technical field, or equivalent hands-on experience.
Behavioral Competencies
- Excellent verbal and written communication skills, with the ability to explain complex technical concepts clearly and concisely.
- Consultative, collaborative, and problem-solving oriented profile.
- Ability to handle ambiguity, prioritize needs, and deliver results in dynamic environments.
- Skill in influencing technical and business stakeholders.
- Autonomy to drive technical initiatives and support multiple opportunities simultaneously.
- Ability to achieve technical training and role-specific goals within 6 months of hire.
Desirable Qualifications
- Experience in building data-driven use cases, such as risk modeling, fraud detection, demand forecasting, customer segmentation, or operational optimization.
- Knowledge of Machine Learning models and Artificial Intelligence applications.
- Experience with modernizing data environments, migrating to the cloud, or adopting lakehouse architectures.
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
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