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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformSpark
About the role
Key responsibilities & impact- Define, evolve and sustain the **corporate data architecture**, ensuring scalability, standardization and alignment with business and technology strategies
- Establish and maintain architectural standards for:
- data ingestion and integration
- data modeling (layers, domains and contracts)
- data consumption (serving layer, APIs, BI, Analytics and AI)
- Act as a **technical reference in data architecture**, ensuring coherence across initiatives and teams
- Define the architecture for **new data projects and products**, supporting squads in technical decision-making
- Conduct **design reviews** and validate end-to-end data solutions
- Work in an integrated way with the teams of:
- Data Governance (policies, catalog, quality and compliance)
- DataOps (pipelines, execution and operation)
- Ensure the architecture supports **scalable operations and efficient governance**
- Structure the architecture to enable:
- BI and self-service analytics
- data science and machine learning
- AI and Generative AI (GenAI) initiatives
- Define data standards for consumption by **models, applications and digital products**
- Provide technical leadership to architects and/or data engineers
- Influence technical decisions across multiple teams and areas
- Define and evolve the **data architecture roadmap**
Requirements
What you’ll need- Solid experience in **large-scale data architecture**
- Mastery of concepts such as:
- Data Lake, Data Warehouse and Lakehouse
- data modeling (dimensional and/or domain-driven)
- batch and streaming processing
- Experience with **cloud platforms** (AWS, Azure or GCP)
- Hands-on experience with:
- Databricks and/or Spark
- data ingestion, transformation and processing tools
- Experience defining **corporate architectural standards**
- Ability to design **end-to-end** data solutions
- Skill to evaluate technical trade-offs such as:
- cost vs. performance
- flexibility vs. standardization
- centralization vs. decentralization
- Experience with data integration via:
- APIs, events and pipelines
- Knowledge of event-driven architectures
- Experience with consumption layers such as BI, APIs and feature stores
- Experience in **technical leadership** (formal or informal)
- Strong ability to **influence without direct authority**
- Work across multiple teams (engineering, product, data and business)
- Clear communication with technical and non-technical stakeholders.
Benefits
Comp & perks- Health insurance
- Dental insurance
- Meal or food allowance
- Telemedicine
- Gympass
- Sesc partnership
- Home office allowance
- Profit Sharing (PLR)
- Private pension
- Group life insurance
- Pharmacy partnership
- Educational partnerships
- Online learning platform
- Discounts at Riachuelo
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata modelingdata ingestiondata integrationbatch processingstreaming processingcloud platformsdata Lakedata WarehouseLakehouse
Soft Skills
technical leadershipinfluence without authorityclear communicationcollaborationdecision-making