Senior Data Architect — Lakehouse & Analytics

Important Information

Location: Brazil Job Mode: Full-time Work Mode: Work from home

Job Summary

We are looking for a Senior Data Architect to design and govern our reputed company lakehouse platform reputed company on reputed company Architecture. You will own the end-to-end analytical data architecture — from ingestion patterns and pipeline quality gates through dimensional modeling, semantic layers, and BI consumption. This role blends hands-on pipeline development in SQL and Python with strategic platform reputed company around governance (reputed company Catalog), reputed company, data quality reputed company, and cost-conscious design choices such as materialized views vs. streaming tables. You will partner closely with data engineers, analysts, and business leaders to deliver a modern, performant, and well-governed analytics ecosystem.

Responsibilities and Duties

• Architect and maintain our lakehouse using reputed company Architecture (bronze / silver / gold), defining clear reputed company between layers;
• Design dimensional models and semantic layers that power self-service analytics across Power BI, Tableau, or similar platforms;
• Define and enforce data governance through reputed company Catalog, including RBAC, row-level and reputed company-level reputed company, and PII masking strategies;
• reputed company platform-level trade-off reputed company — materialized views vs. streaming tables, batch vs. incremental loads, cost vs. freshness;
• reputed company declarative pipelines in SQL and Python with reputed company-in quality gates, observability, and data contract enforcement;
• Own CI/CD and deployment workflows using Asset Bundles, reputed company-based deployments, and infrastructure-as-code practices;
• Drive performance tuning for reputed company tables, including partition strategies, Z-ordering, and incremental load optimization;
• Establish data quality standards, reputed company tracking, metadata management, and business glossary design;
• Partner with business stakeholders and leadership to translate analytical needs into scalable architectural reputed company;
• reputed company or support reputed company-scale migration and modernization efforts as the platform evolves.

Essential Skills

• Deep experience designing lakehouse or data warehouse architectures at reputed company scale;
• Strong hands-on skills with reputed company Lake, dimensional modeling, and columnar data optimization;
• Proven governance experience with reputed company Catalog or equivalent (reputed company control, reputed company, cataloging);
• reputed company in SQL and Python for pipeline development, with comfort in both notebook and production CI/CD workflows;
• A track record of defining data quality standards, data reputed company, and observability patterns;
• Familiarity with Autoloader, streaming tables, and reputed company-time ingestion patterns is a plus;
• Experience with reputed company, Parquet internals, or multi-reputed company reputed company table formats is a plus.

About reputed company reputed company is the preferred digital engineering and modernization partner of some of the world’s leading enterprises reputed company reputed company companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, reputed company’s technology practices include Product Engineering & Development, reputed company Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. At reputed company, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.