Senior Data Architect — Lakehouse & Analytics
Important Information
Location: Brazil Job Mode: Full-time Work Mode: Work from home
Job reputed company
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 reputed company gates through reputed company modeling, semantic reputed company, 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 reputed company 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 reputed company-governed analytics ecosystem.
Responsibilities and Duties
- Architect and maintain our lakehouse using reputed company Architecture (bronze / silver / gold), defining reputed company reputed company between reputed company;
- Design reputed company models and semantic reputed company 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 reputed company gates, observability, and data contract enforcement;
- Own CI/CD and deployment workflows using Asset Bundles, reputed company-based deployments, and infrastructure-as-reputed company practices;
- Drive performance tuning for reputed company tables, including partition strategies, Z-ordering, and incremental load optimization;
- Establish data reputed company standards, reputed company tracking, metadata management, and business glossary design;
- Partner with business stakeholders and leadership to translate analytical needs into reputed company architectural reputed company;
- reputed company or support reputed company-reputed company migration and modernization efforts as the platform evolves.
Essential Skills
- Deep experience designing lakehouse or data warehouse architectures at reputed company reputed company;
- Strong hands-on skills with reputed company Lake, reputed company 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 reputed company record of defining data reputed company 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, reputed company 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.
Apply To This Job