Data Architect (Databricks & Governance)
About the Role:
We are seeking a visionary and highly skilled Data Architect to design, build, and oversee our next-generation data ecosystem. In this role, you will be the technical authority driving our Data Management and Data Governance initiatives. You will leverage Databricks to create scalable, secure, and high-performance data architectures that empower the organization to make data-driven decisions with total trust in data quality.
Key Responsibilities:
* Architecture & Design: Define the blueprints for data storage, integration, and processing pipelines utilizing Databricks (Lakehouse architecture).
* Data Governance & Strategy: Implement data governance frameworks, including data lineage, data cataloging, metadata management, and access control policies.
* Data Management: Oversee the data lifecycle from ingestion to consumption, ensuring high availability, data quality, and optimal performance.
* Collaboration: Partner with Data Engineers, Data Scientists, and business stakeholders to translate complex business needs into scalable technical data models.
* Best Practices: Establish and enforce standards for data security, compliance (e.G., GDPR), and architectural best practices across the organization.
Required Skills & Qualifications:
* 5+ years of experience in Data Architecture, Data Engineering, or a similar senior data role.
* Proven hands-on experience designing and implementing data solutions on Databricks.
* Strong expertise in Data Management principles and Data Governance tools/methodologies.
* Solid understanding of data warehousing, data lakes, ETL/ELT processes, and master data management (MDM).
* Experience with cloud providers (AWS, Azure, or GCP) and modern data stack tools.
Languages:
* English (B1/B2): Intermediate to professional independent communication skills (written and spoken).
* Portuguese: Native or professional proficiency.