Data Architecture Manager

Jobtailor; São Paulo; Presencial; BRL 240 000 - 360 000; Tempo integral

Resumo da oferta

Jobtailor in São Paulo, Brazil, is seeking a senior Data Architect to define and evolve the corporate data architecture, ensuring scalability, standardization and alignment with business and technology strategies.

You will lead data standards, governance, and end-to-end data solutions across teams, enabling BI, analytics and GenAI initiatives while guiding architects and engineers.

Qualificações

• Solid experience in large-scale data architecture.
• Mastery of data lake, data warehouse, lakehouse concepts.
• Experience with cloud platforms (AWS, Azure, GCP).
• Hands-on with Databricks and Spark.

Responsabilidades

• Define, evolve and sustain the corporate data architecture to ensure scalability and alignment with business and technology strategies.
• Establish and maintain architectural standards for data ingestion, integration, modeling, and consumption.
• Act as a technical reference in data architecture across initiatives and teams.
• Define architecture for new data projects and products, supporting squads in technical decisions.
• Conduct design reviews and validate end-to-end data solutions.
• Collaborate with Data Governance and DataOps teams to ensure governance and operational efficiency.
• Structure the architecture to enable BI, data science, ML, and GenAI initiatives.
• Define data standards for consumption by models, applications and digital products.
• Provide technical leadership to architects and data engineers.

Conhecimentos

Large-scale data architecture

Data architecture concepts (lakehouse,

Ferramentas

Databricks

Spark

Descrição da oferta de emprego

Responsibilities

• 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

• 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.