Platform Support Manager overseeing L1 support team performance and stakeholder collaboration. Driving continuous improvement and operational excellence in platform support processes.
About the role
- Manage corporate data architecture and establish standards for data integration and modeling. Collaborate with teams on data governance and support BI, analytics, and machine learning initiatives.
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 for data architecture, ensuring consistency 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 manner with teams such as:
- Data Governance (policies, catalog, quality, and compliance)
- DataOps (pipelines, execution, and operations)
- Ensure the architecture supports scalable operations and effective 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 data 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
- Strong understanding 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
- Architecture and Design
- 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
- Integration and Ecosystem
- Experience integrating data via:
- APIs, events, and pipelines
- Knowledge of event-driven architectures
- Experience with consumption layers such as BI, APIs, and feature stores
- Management and Influence
- Experience in technical leadership (formal or informal)
- Strong ability to influence without direct authority
- Work experience with multiple teams (engineering, product, data, and business)
- Clear communication with technical and non-technical stakeholders.
Benefits
- Medical insurance
- Dental insurance
- Meal or Food allowance
- Telemedicine
- Gympass
- Sesc partnership
- Home office allowance
- Profit Sharing (PLR)
- Private pension plan
- Group life insurance
- Pharmacy discounts/partnership
- Educational partnerships
- Online learning platform
- Discounts at Riachuelo
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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