• Atuar na evolução e otimização de ambientes em nuvem • Apoiar times técnicos na adoção de boas práticas de arquitetura e DevOps • Garantir padrões de segurança, escalabilidade e performance • Participar de discussões técnicas e definição de soluções

• Serve as a trusted design partner to customers by qualifying requirements and developing low-level technical designs for high-performance, automated data discovery and processing solutions • You will serve as a trusted partner for clients, leading the entire post-sale process from initial requirement discovery and validation through to final User Acceptance Testing (UAT) and project handover • Authorize design changes throughout the implementation process to ensure solutions meet all functional, security, and performance requirements in accordance with contractual commitments

Job Description Summary Essential Functions / Responsibilities: Assist in the analysis, design and development of a roadmap, design pattern, and implementation based upon a current vs. future state in a cohesive architecture viewpoint. Gather and analyze data and develop architectural requirements at project level. Responsible for multiple software projects as a project leader or internal consultant; support highly complex software projects that require in-depth domain knowledge or specialized architecture areas. Participate in the data domain technical and business discussions relative to future architect direction. Participate in the Data Governance Council. Participate in development data and data delivery platforms that are service-oriented with reusable components that can be orchestrated together into different methods for different businesses. Research and evaluate emerging technology, industry and market trends to assist in project development and/or operational support activities. Effectively monitor and control costs in the organization. Job Description Qualifications / Requirements: Bachelor’s degree or equivalent in Computer Science, or ‘STEM’ Majors (Science, Technology, Engineering (any), and Math) or related. Four (4) years of experience in software architecture design and development. Work experience to include: Cloud platforms to include: AWS, Azure, and GCP; SQL to develop and maintain data models, as well as to optimize data pipelines; Data modeling techniques and data warehousing to create and manage data architectures; Implementing data governance frameworks and ensuring data quality and integrity across the data landscape; and Optimizing ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes for performance and efficiency. 100% remote position reporting to GE Vernova International LLC in Schenectady, NY. Candidate may live anywhere in the continental U.S. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). For U.S. based positions only, the pay range for this position is $111,363-$164,200 annually. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. In addition, this position is eligible for 10% variable incentive compensation. Available health and welfare benefits include healthcare, prescription drug, dental, and vision coverage; savings account options (such as a Health Care Flexible Savings Account, Health Reimbursement Account, Limited Purpose Flexible Spending Account, and Dependent Care Flexible Spending Account); and an employee assistance program. Additional benefits include a defined contribution 401(k) plan, employee life insurance, optional dependent life insurance, employee accidental death or dismemberment insurance coverage, short-term disability, optional long-term disability, pre-tax transportation/commuter program, paid holidays, paid time off, parental leave, a layoff plan for salaried employees, tuition refund program, use of CariLoop, adoption assistance, optional identity theft prevention insurance, optional personal legal assistance, and optional personal excess liability insurance. GE Vernova International LLC offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No

• Lead the design and architecture of enterprise data platforms using Snowflake and Azure, supporting greenfield initiatives and large-scale modernization efforts. • Define and implement architectural patterns for on-premises to cloud migrations, including ingestion, transformation, storage, and analytics layers. • Partner with data engineering and analytics teams to design scalable data models, ELT frameworks, and integration patterns using Snowflake and SQL. • Contribute to data strategy and roadmap development, aligning technical architecture with business goals and analytics needs. • Define and enforce data governance, security, and data quality standards, working closely with compliance and data management teams. • Review architectural designs, data pipelines, and implementations to ensure alignment with performance, scalability, security, and governance best practices. • Support analytics and reporting teams by ensuring Snowflake architectures enable self-service BI and reliable access to trusted data sources.