Senior Data Architect

Bunge; São Paulo; Presencial; BRL 180 000 - 280 000; Tempo integral

Resumo da oferta

Bunge in São Paulo, Brazil seeks a Senior Data Architect to lead the Data Mesh data modeling efforts within the Data Platform team. You will model new data products, communicate with data product teams, and ensure delivery aligns with business needs across supply chain, risk, and operations.

You will define master data, ontologies, metadata management, and collaborate with governance to maintain data accuracy and regulatory compliance.

Qualificações

• PhD in STEM with data science research or equivalent advanced degree.
• Expert in SQL and data modeling techniques.
• Experience with Data Catalog and metadata management tools (Collibra, DataHub, Atlas).
• Advanced analytics, AI/ML and BI knowledge.
• Experience with Data Platform and Data Mesh in a large enterprise.
• Ability to mentor Associates and other Data Architects/Engineers.

Responsabilidades

• Act as SME for data architecture and modeling in a key business domain.
• Design, test data models in data products to drive reusability.
• Provide technical support for data product teams.
• Collaborate with Business Analysts, Data Scientists and Product Owners.
• Define master data, data ontologies and metadata management.
• Coordinate with governance to maintain data accuracy and compliance.

Conhecimentos

Data modeling

SQL

Python

Data analysis

Teamwork

Communication

Formação académica

PhD in STEM

Ferramentas

Collibra

DataHub

Atlas

Descrição da oferta de emprego

Location

São Paulo, Brasil (São Paulo – SP)

We are seeking a highly motivated and experienced Senior Data Architect as part of the Data Platform team. This platform will empower data-driven decision-making across the company, fueling innovation and operational efficiency in areas such as supply chain & logistics, risk management, Industrial Operation, corporate functions, or market analysis. As Senior Data Architect, you will be responsible for modeling new data products in a Data Mesh paradigm ensuring data solve business problems, communicating to the technical team building data products, and assure the delivery matches business expectations. You will also be responsible for working with cross-functional teams to identify and prioritize the definition of new master data in the platform.

Main Accountabilities

• Act as the main point of contact and SME for all data architecture and modeling topics for one specific business domain: supply chain & logistics, risk management, Industrial Operation, corporate functions, or market analysis.
• Design, create, test data models in data products that drive the reusability of analytical solutions throughout the organization.
• Provide technical support for data product teams building new data products.
• Collaborate with Business Analyst, Data Scientists and Data Product Owners to understand business problems and implement scalable and sustainable data solutions.
• Define master data, data ontologies and metadata management for data products and Platform components.
• Coordinate with Data Product Owners and Data Governance team to implement and enforce data governance policies and procedures to maintain data accuracy, consistency, and compliance with regulatory requirements.

Knowledge & Skills

• Proficient in data modeling techniques, SQL and Python, data analysis, analytical skills, teamwork, and communication skills.
• Can help business structure the problems/hypotheses they want to address and convert it into a data model implemented in a data product.
• Develop best practices and improve data-driven mindset awareness of possible use cases and help them to understand the necessary concepts of data modeling, data sharing in a Data Mesh architecture and ensure better communication and understanding across functions.

Education & Experience

• PhD in STEM field with research experience in Data Science or post-graduate degree in STEM field with 3-5 years' experience as Lead Data Scientist.
• Expert in SQL and data modeling techniques.
• Experience with Data Catalog and metadata management tools: Collibra (Preferred), DataHub, Atlas, etc.
• Advanced knowledge of analytics and computer science, knowledge of AI/ML and BI spaces.
• Experience in Data Platform and Data Mesh paradigm in a mid or big enterprise.
• Capable of mentoring Associates and other Data architects/Engineers and answer business questions to higher authorities and management related to the designated business domain.
• Model behavior as a great team player and teach new ideas.
• Communications with the project stakeholders on a regular basis.