Senior Data Architect
New
C
CI&TFinancial markets and asset management
Listing location: Brazil; Workplace type: RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Advanced English (B2 or higher)
- Required Skills
- AWSPostgreSQLPythonSQLApache AirflowSnowflake
Requirements
- Bring solid experience as a data architect, including data governance, metadata management, and data lineage.
- Have strong SQL and Python skills and practical experience with PostgreSQL and Snowflake.
- Have experience with AWS, including RDS, EC2, and related services.
- Have in-depth knowledge of Apache Airflow and data-pipeline orchestration architectures.
- Have experience with data catalog and lineage tools such as OpenMetadata, DataHub, or Collibra.
- Have practical experience applying LLMs or AI agents to code analysis, automation, or metadata generation; examples include Claude, OpenAI, Bedrock, LiteLLM, and MCP.
- Understand data modeling and governance frameworks such as DAMA-DMBOK.
- Have a history of technical squad leadership and mentoring data engineers.
- Have advanced English proficiency (B2 or higher).
- Be able to communicate complex technical concepts clearly to business teams.
Responsibilities
- Define data and IT-component lineage architecture, including granularity, coverage, and completion criteria.
- Design catalog and metadata architecture using OpenMetadata.
- Establish data-asset taxonomy and classification by domain, layer, and criticality.
- Define Governance as Code with DevOps and platform teams, integrating catalog and lineage updates into deployment pipelines.
- Guide technical data-quality rules and initial business glossary and metadata suggestions.
- Assess governance maturity frameworks and identify current and target maturity by dimension.
- Set standards for using AI agents and language models in code analysis and metadata generation, respecting client policies on proprietary code.
- Anticipate architecture challenges such as cross-domain tables and multiple writers, and propose solutions.
- Lead validations with data-domain owners and mentor the squad's data engineers.
- Contribute to the governance roadmap and semantic-layer architecture, and represent data architecture in client forums.
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