Data Lead

Há 3 dias

Greater São Paulo Area, Brasil Georgia IT, Inc. Tempo inteiro R$120.000 - R$240.000 por ano

Position Name - Data Lead

Work Location - Alphaville, São Paulo(Hybrid)

Employment Type: 12 Months plus contract

Rate – DOE

Start Date immediately

Advanced English required (fluency necessary for global stakeholder communication).

Position Summary

We are seeking a Data Lead with Data Steward Capabilities and strong technical expertise and proven experience in team

leadership. This role combines strategic data management with hands-on governance and

quality practices. The ideal candidate will be data-driven, capable of applying Data Science

to solve analytical and technical challenges and will play a key role in building a data-driven

culture across the organization.

Key Responsibilities.

Lead data squads, ensuring technical and strategic alignment with business areas.

Define and implement data governance, quality, and architecture strategies.

Build and maintain data governance and quality processes.

Ensure data resources meet business needs, maintaining high standards of data quality

and metadata management.

Generate studies, insights, and KPIs to monitor data accuracy and support business

strategies.

Conduct alignment meetings, feedback sessions, and individual development plans (IDPs)

with team members.

Act as the technical focal point in data projects, ensuring scalability, security, and

performance.

Promote best practices in data engineering, including pipelines, orchestration, and

automation.

Support integration between product, engineering, and internal stakeholders.

Technical Requirements

Strong experience with SQL, Python, data modeling, and ETL/ELT tools.

Knowledge of Cloud Data Platforms (preferably GCP, Azure, or AWS).

Familiarity with conceptual and physical data modeling.

Experience with tools such as Databricks, Spark, Hadoop, Airflow.

Proficiency in data quality and data cataloging tools.

Knowledge of data integration methodologies (ETL/ELT).

Experience with data visualization tools (Power BI, Tableau, etc.)

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