Data Intelligence Platform Lead

Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

Lead the evolution of Bradesco Bank's data intelligence platform, ensuring a reliable, governed, high-quality, and scalable foundation for analytics, AI, regulatory reporting, and business decision-making. This role will operate across the current on-premises stack and the planned migration to a modern Databricks-on-AWS cloud platform.

About the Role

Bradesco Bank is seeking a hands-on, business-oriented data platform leader to lead a 10 people team in order to manage the bank's end-to-end data intelligence platform. The successful candidate will coordinate the modernization of the current on-premises data environment while leading the design and implementation of a governed cloud data platform on Databricks and AWS. This is a strategic role for a professional who can connect architecture, governance, delivery execution, data quality, security, and AI adoption into a coherent enterprise data capability.

Key Responsibilities

Cloud Data Platform and Migration

• Coordinate the structuring of the Databricks environment on AWS, including development pipelines, operational controls, governance parameters, data quality monitoring, alerting, and platform observability.
• Define and align target-state solutions for ingestion, orchestration, processing, monitoring, security, and lifecycle management in the Databricks ecosystem.
• Lead the migration of on-premises data pipelines to Databricks, ensuring they are rebuilt as reusable, scalable, governed, and well-documented data products.
• Partner with technology, security, infrastructure, compliance, and business stakeholders to ensure the cloud platform meets banking-grade operational, regulatory, and information security expectations.

Data Products, Governance, and Quality

• Coordinate the definition, documentation, and dissemination of the data product concept across the Data team and the broader bank.
• Establish the required governance, ownership, metadata, lineage, access, quality, monitoring, and lifecycle dimensions for data products.
• Review and strengthen governance practices in the current data warehouse environment, including data access workflows, pipeline development standards, orchestration processes, and data domain definitions.
• Define and document data quality dimensions, implement automated quality tests, and build end-to-end monitoring and alerting for critical data flows.

On-Premises Platform Modernization

• Coordinate DataSecOps practices to establish end-to-end monitoring and alerting across infrastructure, development environments, orchestration layers, and data pipelines.
• Lead the inventory, technical assessment, rationalization, and recommendation process for SQL Server environments, including whether to migrate, retain, consolidate, modernize, or decommission each server.
• Drive improvements in operational reliability, documentation, development standards, and production support for the current SQL Server, Airflow, and dbt environment.

AI Enablement and Governance

• Coordinate the establishment of AI governance practices, including principles, controls, accountability, observability, and risk management considerations.
• Identify, prioritize, and coordinate AI initiatives that generate measurable business value on top of both the current on-premises environment and the future cloud data platform.
• Support experimentation and delivery of AI-based use cases in collaboration with business, data, technology, compliance, and risk stakeholders.

Ideal Candidate Profile

• Strong experience leading data platform, data engineering, analytics engineering, or data architecture initiatives in complex enterprise environments.
• Practical understanding of Databricks, AWS data services, SQL Server, Airflow, dbt, data ingestion patterns, orchestration, monitoring, and platform operations.
• Demonstrated ability to translate data governance, data quality, metadata, lineage, access control, and observability requirements into practical engineering standards.
• Experience coordinating platform migrations or modernization initiatives from legacy or on-premises environments to cloud-based architectures.
• Strong stakeholder management skills, with the ability to influence technical teams, business leaders, infrastructure, information security, compliance, and risk functions.
• Comfort operating in regulated environments, ideally financial services or banking, where reliability, controls, auditability, and information security are essential.
• Hands-on mindset combined with strategic judgment, able to move from high-level target architecture to execution plans, delivery governance, and operational follow-through.

What Success Looks Like

• A clear, governed, and scalable Databricks-on-AWS foundation is established with strong development, deployment, quality, monitoring, and alerting practices.
• Data products become a consistent operating model for how the bank designs, documents, owns, governs, and consumes trusted data assets.
• Critical on-premises pipelines are migrated or modernized with improved reliability, documentation, observability, and reuse.
• SQL Server assets are inventoried and rationalized with actionable recommendations for migration, retention, consolidation, or decommissioning.
• AI initiatives are governed, prioritized, and delivered through a framework that balances business value, responsible AI practices, and operational control.

Preferred Qualifications

• Experience with Databricks Lakehouse architecture, Unity Catalog, data quality frameworks, CI/CD pipelines, and cloud-native monitoring practices.
• Experience with AWS services commonly used in data platforms, such as S3, IAM, networking, security controls, monitoring, and infrastructure automation.
• Familiarity with regulatory, security, and audit expectations in banking or financial services.
• Ability to communicate fluently with both executive and technical audiences, producing clear documentation, roadmaps, standards, and decision materials.

Bradesco Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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