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[job-30810] Master Data Architect, Brasil.

2 weeks, 6 days ago
Brazil
Full-time
Senior
Data Architect
Data Science and Analytics
Apache Airflow Apache Spark AWS CI/CD CRM Databricks DynamoDB ERP Hadoop Kanban MongoDB PostgreSQL Scrum SQL Server
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CI&T

CI&T

CI&T is a global digital technology agency empowering agile growth for leading companies through advanced technologies with a team of 2000 experts worldwide.

Internet Software & Services
5K-10K
Founded 1995
View All Jobs 83

Description

  • Define the target solution architecture for data structure, processing, storage, consumption, and governance in collaboration with the project architecture team.
  • Conduct structured assessments of existing ETL/ELT, reporting, and integration workloads and map cross-system dependencies.
  • Recommend and justify rationalization decisions for the new solution, including migrate, refactor, eliminate, or defer options.
  • Identify technical risks, mitigation plans, and quick wins for the modernization journey.
  • Define and implement data quality gates across pipelines, including completeness, freshness, accuracy, and lineage.
  • Establish governance and security policies with Unity Catalog, including access control, RBAC/ABAC, sensitive data masking, lineage, and auditability.
  • Define pipeline orchestration, deployment, and observability strategies using Databricks Workflows, Airflow, or equivalent tools.
  • Design platform operations, including monitoring, alerts, failure handling, autoscaling, and cost optimization.
  • Serve as a technical reference for the data team, supporting solution design, code reviews, and key technical decisions.
  • Align with business, corporate architecture, and infrastructure teams to ensure enterprise standards and strategic goals are met.
  • Influence roadmap and prioritization based on business value, technical effort, and risk.
  • Produce and maintain architecture artifacts such as diagrams, ADRs, runbooks, dependency maps, and guidelines, and lead knowledge transfer sessions.

Requirements

  • 5+ years of experience in Data Engineering or Data Architecture, including 2–3 years in a Data Architect or equivalent technical leadership role.
  • Proven experience leading architecture for at least one medium-to-large data modernization or migration program.
  • Hands-on experience with relational and non-relational data models, including MongoDB, DynamoDB, PostgreSQL, and similar technologies.
  • Strong knowledge of performance best practices such as partitioning, Z-order, caching, and job optimization.
  • Ability to define standards for data platforms, including cluster strategy, aging, cost control, security, and governance.
  • Practical experience with AWS tools for large-scale data storage and processing.
  • Ability to design architectures that consider security, scalability, FinOps, and integration with the client ecosystem.
  • Experience defining and implementing data governance frameworks, including data domains, ownership, access policies, and cataloging.
  • Experience defining and measuring data SLAs/SLOs, quality checks, and monitoring.
  • Proven experience migrating legacy pipelines and reports such as SQL Server, SSIS, and traditional EDW environments to modern platforms.
  • Ability to read, interpret, and assess legacy code such as T-SQL, SSIS XML/dtsx, and PySpark to guide migration or refactoring strategies.
  • Experience with pipeline orchestration tools such as Apache Airflow and Databricks Workflows.
  • Experience with CI/CD practices for data, including IaC, environment promotion, and code/schema versioning.
  • Strong communication skills for both executive and technical audiences, including architecture presentation, trade-offs, and risk communication.
  • Experience working in agile teams and collaborating with Product, Technology, and Business stakeholders.
  • Ability to influence decisions and lead complex technical discussions in ambiguous environments.
  • Experience with Lakebridge (Databricks Labs) or other SQL migration automation tools is a plus.
  • Familiarity with AI-assisted code conversion approaches, such as LLMs for T-SQL to Spark SQL or SSIS to notebooks, is a plus.
  • Background with PySpark, Sqoop, or ingestion pipelines in Hadoop/EMR ecosystems is a plus.
  • Experience comparing orchestration patterns across Apache Airflow and Databricks Workflows is a plus.
  • Experience with knowledge graphs or metadata management for dependency tracking is a plus.
  • Relevant certifications such as Databricks Lakehouse/Data Engineer or AWS Data Analytics Specialty are a plus.
  • Prior experience in the education sector or in environments with multiple academic and administrative sources such as CRM, LMS, and ERP is a plus.

Benefits

  • Health and dental insurance.
  • Meal and food allowance.
  • Childcare assistance.
  • Extended parental leave.
  • Gym and wellness partnerships through Wellhub (Gympass) and TotalPass.
  • Profit sharing program (PLR).
  • Life insurance.
  • Continuous learning platform through CI&T University.
  • Discount club.
  • Free online platform focused on physical, mental, and overall well-being.
  • Pregnancy and responsible parenting course.
  • Partnerships with online learning platforms.
  • Language learning platform.

Interested in this position?

Apply directly on the company website

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