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ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data architecturedata modelingdata ingestiondata integrationbatch processingstreaming processingcloud platformsdata Lakedata WarehouseLakehouse
Soft Skills
technical leadershipinfluence without authorityclear communicationcollaborationdecision-making
Tools & Technologies
AWSAzureGCPDatabricksSparkAPIsdata transformation toolsBI toolsfeature storesdata governance tools
Industry Keywords
corporate architectural standardsend-to-end data solutionsevent-driven architecturesdata qualitydata compliance
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