This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Arquiteto(a) de Dados Sênior based in Brazil.
This is a senior-level opportunity for a data architecture professional who wants to design scalable, secure, and innovative data solutions for complex business environments.
The role combines technical leadership, data engineering expertise, and strategic thinking to transform business needs into modern architectures.
You will work closely with multidisciplinary teams across data engineering, analytics, artificial intelligence, and business areas.
The position offers the opportunity to influence technology decisions, define best practices, and contribute to high-impact transformation projects.
Working with cloud platforms and modern data ecosystems, you will help shape solutions that enable better decision-making and operational efficiency.
This role is ideal for professionals who enjoy solving complex challenges and driving excellence in data strategy and implementation.
Accountabilities:
The Senior Data Architect will be responsible for designing and leading modern data solutions, ensuring technical excellence, scalability, governance, and alignment between technology and business objectives. The role requires strong architecture skills, hands-on engineering knowledge, and the ability to guide technical teams and stakeholders.
- Lead the design of modern data architectures, including Lakehouse, Data Mesh, and Medallion approaches for analytical and operational environments.
- Collaborate with engineering, BI, Data Science, and Generative AI teams to ensure technical alignment and integrated solutions.
- Define standards for data modeling, ingestion, processing, storage, and governance.
- Support the development of scalable data pipelines using DataOps practices and CI/CD methodologies.
- Make technical decisions based on practical data engineering experience and architectural best practices.
- Conduct technical reviews, recommend tools, and promote effective implementation strategies.
- Engage with business teams and executive stakeholders to recommend sustainable and value-driven solutions.
- Guide multidisciplinary squads and support the evolution of data capabilities.
Requirements:
The ideal candidate has extensive experience in data architecture, strong data engineering foundations, and the ability to translate complex business requirements into reliable technical solutions. This role requires expertise in cloud environments, data platforms, governance practices, and effective communication with technical and business stakeholders.
- Proven experience in data architecture for complex and large-scale projects.
- Strong background in data engineering, including data ingestion, transformation, orchestration, and pipeline deployment.
- Advanced knowledge of data modeling, including relational, dimensional, and event-driven approaches.
- Experience with cloud data environments, preferably Microsoft Azure.
- Strong knowledge of Microsoft data ecosystem technologies, including:
- Azure Data Factory.
- Azure Synapse Analytics.
- Azure Data Lake.
- Azure SQL and SQL Server.
- Power BI.
- Purview and Fabric are considered advantages.
- Knowledge of data governance, LGPD compliance, data lineage, and cataloging practices.
- Ability to technically lead multidisciplinary teams and communicate effectively with different audiences.
- Strong product mindset and business-oriented vision.
- Experience or knowledge in AI projects, MLOps, intelligent automation, or multicloud environments is a plus.
- Microsoft data certifications such as DP-203, DP-500, DP-600, or DP-700 are desirable.
Benefits:
- Opportunity to work on high-impact projects with major market clients.
- Collaborative environment with technical autonomy and ownership.
- Opportunity to contribute to the development and evolution of data solutions and practices.
- Access to training programs, certifications, and Microsoft learning initiatives.
- Participation in technical communities and innovation events.
How Jobgether works:
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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