Data Delivery Lead – Cloud Data Platforms

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Oversee the comprehensive delivery of strategic data and analytics projects.

• Collaborate with multidisciplinary teams including Data Engineering, Architecture, Quality Assurance, and business divisions.

• Establish and monitor roadmaps, delivery strategies, schedules, milestones, and success metrics.

• Guarantee delivery aligns with defined scope, timelines, quality standards, and governance protocols.

• Identify and manage risks, blockers, issues, and dependencies.

• Serve as a liaison between technical teams, business stakeholders, and leadership.

• Facilitate decision-making and ensure alignment across business, architectural, and technical efforts.

• Champion Agile methodologies, including planning, refinement, tracking, and ongoing improvement.

• Assist in organizing and prioritizing the backlog, along with defining acceptance criteria.

• Track progress, quality, predictability, and outcome metrics.

• Prepare and deliver updates to executives.

• Support efforts in platform modernization, data transformation, and the adoption of cloud technologies.

• Ensure data security, compliance, quality, and governance standards are upheld.

• Collaborate with architects and engineers to evaluate impacts, risks, and technical alternatives.

• Foster collaboration among global and distributed teams.

• Identify opportunities to enhance processes, platforms, and delivery models.

• Contribute to DataOps initiatives and automation efforts.

• Assist in resolving blockers and escalating critical issues.

• Promote continuous improvement in the efficiency, quality, and outcomes of data initiatives.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, Business Administration, or a related discipline.

• Advanced proficiency in English (C1/C2), capable of effective communication in an international context.

• Proven experience coordinating multidisciplinary teams in Data Engineering, Architecture, Quality, and business sectors.

• Demonstrated experience managing data projects, programs, or products from initiation to completion.

• Skilled in planning and executing roadmaps, defining scope, managing timelines, and addressing risks, blockers, and dependencies.

• Practical knowledge of Data Warehouses, Data Lakes, and Lakehouse architectures.

• Familiarity with cloud platforms and contemporary data technologies.

• Understanding of ETL, ELT, data integration, and Data Engineering platforms.

• Experience with data governance, quality assurance, security, and lifecycle management of data.

• Background in Agile, Scrum, or SAFe methodologies.

• Proficient with Jira or Azure DevOps.

• Ability to align business priorities with architectural decisions and technical implementation.

• Experience working with global delivery models and distributed teams.

• Previous experience in the financial services sector, particularly with modernization projects, AWS, Snowflake, Databricks, Apache Spark, DataOps, Data Governance, Data Quality, executive reporting, data platform migration, and data transformation is advantageous.

🏝️ Benefits

• Medical and dental insurance.

• Childcare assistance.

• EY benefits and access to an exclusive discounts platform.

• Educational incentives.

• Day off on your birthday.

• Gympass/Wellhub access.

• Profit-sharing plan.

• Private pension plan.

• Meal and/or food and transportation vouchers.

• Flexible work environment.

• Programs for diversity and inclusion, along with employee groups.