Coordenador(a) de Dados

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Coordenador(a) de Dados in Brazil.

This role is designed for a data leader who will drive strategic initiatives across architecture, engineering, and governance, with a strong focus on building scalable, secure, and high-performing data ecosystems. You will play a key role in shaping a data-driven culture, translating business needs into robust technical solutions that generate real business impact. Working at the intersection of technology and strategy, you will lead a multidisciplinary data team and collaborate closely with business and IT stakeholders. The environment is highly collaborative, fast-evolving, and focused on innovation and measurable outcomes. This is a great opportunity for someone who wants to influence how data is structured, governed, and leveraged at scale.

Accountabilities

You will lead the data team and drive initiatives across data architecture, engineering, and governance, ensuring alignment between technology and business priorities. Your responsibilities include:

• Leading and mentoring the data team while managing delivery across architecture, engineering, and governance initiatives
• Evolving and maintaining scalable data architectures (Data Lake, Lakehouse, Data Warehouse), ensuring performance, security, and reliability
• Defining standards, best practices, and processes for data ingestion, transformation, and consumption
• Overseeing the development and optimization of batch and real-time data pipelines
• Ensuring data integrity, quality, traceability, and compliance across all systems
• Planning and delivering strategic data projects in alignment with business goals
• Supporting cloud and hybrid data platform evolution and modernization initiatives
• Translating business needs into data-driven solutions in collaboration with cross-functional teams
• Implementing and strengthening data governance, security, and compliance practices
• Managing team performance metrics, delivery capacity, and backlog prioritization

Requirements

You should bring strong technical expertise in data engineering combined with leadership capabilities and a strategic mindset. The role requires:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related fields
• Solid experience with Big Data technologies (Hadoop, Kafka, Spark or similar)
• Hands-on experience with ETL tools and data orchestration frameworks (Airflow, Control-M or similar)
• Strong proficiency in Python and SQL
• Experience working with cloud platforms (AWS, GCP, or Azure)
• Knowledge of BI tools such as Power BI, QuickSight, or similar
• Intermediate to advanced English skills
• Experience designing or working with Data Lake, Lakehouse (e.g., Delta Lake), and Data Warehouse architectures is a strong plus
• Exposure to CI/CD pipelines and monitoring tools (Jenkins, Datadog or similar) is a plus
• Background in digital transformation and data-driven culture initiatives is highly valued

Soft skills and leadership profile:

• Strong analytical and logical thinking skills
• Strategic mindset, connecting business needs with technical solutions
• High level of organization, prioritization, and execution discipline
• Collaborative leadership style with the ability to guide teams
• Data-driven decision-making and strong ownership mentality
• Proactive attitude with focus on results and continuous improvement

Benefits

• Variable remuneration program (RVI)
• Profit sharing (PLR)
• Health insurance (Unimed) and dental plan
• Life insurance
• Meal and food allowances
• Transportation and mobility support
• Childcare assistance
• Discounts on gyms (TotalPass)
• Internet and mobile plan discounts
• Additional wellness and support programs (C4Life)
• Inclusive and collaborative work environment with strong focus on growth and development

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1