[Job-29335] Senior Data Governance and Data… at Ciandt · Brazil

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. ==> Only CV in English will be consider ==> Only Fluent English - C1 or higher speakers will be consider (you will have a lot of interaction with clients and stakeholders in US daily). About the Role We are looking for a Senior Data Governance Engineer to join our team and play a key role in ensuring that data ingestion processes align with enterprise governance standards while enabling scalable and reliable data integration into our global data lake. This position requires a strong background in Data Governance, combined with hands-on experience in Data Engineering practices . The ideal candidate will act as a bridge between business and technical teams, ensuring data quality, compliance, consistency, and operational efficiency across data platforms. The role profile is approximately: 70% Data Governance 30% Data Engineering Key Responsibilities : Data Governance Collaborate with business and technical stakeholders to define, document, and validate data requirements for external data ingestion. Ensure compliance with established data governance frameworks, policies, and standards related to data quality, security, privacy, and integrity. Monitor and enforce governance processes across data ingestion, transformation, and consumption layers. Promote data stewardship and best practices in data management throughout the organization. Support governance initiatives related to metadata management, lineage, data ownership, and access controls. Ensure alignment with data privacy and compliance regulations such as GDPR and CCPA. Data Engineering Design and implement data ingestion processes for structured and unstructured data from multiple external sources. Support data integration workflows within the global data lake environment. Leverage Databricks capabilities to optimize data processing, orchestration, and transformation pipelines. Work closely with engineering teams to troubleshoot, enhance, and maintain ingestion workflows and data pipelines. Apply SQL and data modeling concepts to support scalable and efficient data solutions. Communication & Stakeholder Management Lead strategic and constructive conversations with clients and internal stakeholders. Act as a liaison between technical and non-technical teams, translating business requirements into governance and technical solutions. Influence discussions by proposing process improvements and governance best practices. Communicate complex concepts clearly and effectively to different audiences, including executive stakeholders. Provide guidance, support, and training on data governance principles and processes. Required Qualifications: Bachelor’s degree in Computer Science, Information Management, Data Science, Engineering, or related fields. Proven experience in Data Governance initiatives and data management frameworks. Hands-on experience with Data Engineering concepts, especially data ingestion and integration processes. Experience working with Databricks and modern data platforms. Strong understanding of data quality, metadata management, data lineage, and governance controls. Solid knowledge of SQL and data modeling concepts. Excellent analytical and problem-solving skills. Advanced English communication skills (written and verbal). Preferred Skills: Ability to work under pressure and adapt to fast-changing environments. Strong sense of ownership, urgency, and hands-on attitude. Excellent interpersonal and stakeholder management skills. Collaborative and proactive mindset. Experience with data visualization and reporting tools. Familiarity with cloud-based data ecosystems and enterprise-scale data lakes. Experience navigating between technical, business, and executive teams in global environments. #LI-LL1 We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.