Senior Data Architect

New

CI&TEducation technology

Listing location: Brazil; Workplace type: Remote; Structured job location: Brazil, consistent overlap with US Central business hoursFull-TimeSenior

Salary not disclosed

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Job Details

Languages: Advanced English proficiency (C1 level or above) — mandatory; Spanish or Portuguese language skills (nice to have)
Required Skills: SQLApache AirflowData modelingdbtDatabricks

Have advanced English proficiency at C1 level or above for direct, daily engagement with North American stakeholders.
Have proven experience in data architecture design and hands-on technical leadership of multidisciplinary data teams.
Have experience designing, building, and deploying data pipelines, lakehouse architectures, and data products at scale.
Have hands-on experience with Databricks, including Delta Lake and Unity Catalog, or equivalent depth on AWS data services.
Have strong data modeling skills across dimensional (Kimball) and relational approaches, with advanced SQL.
Have experience with pipeline orchestration and workflow automation, such as dbt, Databricks Workflows, or Apache Airflow.
Be able to translate business problems into practical data solutions and communicate trade-offs to technical and non-technical audiences.
Be able to work in a nearshore delivery model with consistent overlap with US Central business hours.
Databricks certification is a nice-to-have.
Experience with Snowflake or similar cloud data warehouse platforms is a nice-to-have.
Knowledge of data governance and privacy principles in regulated industries is a nice-to-have.
Experience with CI/CD and MLOps pipeline practices, AI solutions, or agentic coding workflows is a nice-to-have.

Lead the data team technically, guiding database specialists and developers in designing, developing, and maintaining data products and pipelines.
Define and evolve target data architecture across ingestion, lakehouse design, modeling, governance, and serving.
Translate business and technical requirements into solutions, selecting suitable frameworks, patterns, and modeling approaches.
Collaborate with client architects and business leaders to present architectural options and trade-offs, and record decisions.
Establish standards for data quality, access control, data lineage, and privacy.
Incorporate CI/CD and DataOps practices to support consistent, reliable delivery.
Lead current-state data assessments and knowledge transfers during transitions.
Develop proofs of concept and prototypes to validate architectural approaches and demonstrate value to client stakeholders.
Contribute to and draw on shared methodologies and expertise across CI&T data engagements.

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