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About
Data Analyst
with experience in Banking / Financial Services for a direct-hire full time position with a client that is a large financial institution.
Job location: Coral Gables
The Data Analyst will be responsible for the design, and implementation of our data ecosystem. This includes driving the migration from on-premise infrastructure to a modern cloud-based architecture, establishing a DataSecOps framework, quality standards, and enabling advanced analytics capabilities. This role will work with agile teams and ensure compliance, security, and operational excellence.
Key Responsibilities:
Cloud-Based Data Architecture
Design and implement a "Lakehouse" architecture combining data lake for raw data and data warehouse for structured analytics. Ensure high availability and disaster recovery mechanisms for business continuity. DataSecOps Framework
Define and enforce access control and identity management based on least-privilege principles. Establish continuous monitoring for real-time security and compliance alerts. Data Governance & Compliance
Define clear governance rules for data ownership, stewardship, and lifecycle management. Ensure compliance with LGPD, U.S. privacy laws, and banking regulations. Implement metadata management and data catalog tools for discoverability and lineage tracking. Data Quality & Observability
Deploy validation frameworks for automated checks on accuracy, completeness, and timeliness. Create monitoring dashboards to track data health and pipeline performance. Define incident management processes for anomaly detection and resolution. Advanced Analytics & AI Enablement
Enable self-service BI tools (Power BI, Tableau) for business users. Build infrastructure for machine learning model training and deployment pipelines. Provide a secure data science sandbox for experimentation without impacting production. Monitoring & Cost Optimization
Implement FinOps practices for efficient cloud cost management. Optimize queries and storage for performance and cost efficiency. Requirements
12+ years of experience with Software Development / Data 5+ years of experience with Data Engineering Hands-on experience with Data Architecture, Data Warehouse / Data Lake, Data Governance, Frameworks, BI Tools Highly desirable previous experience working for Financial Services / Banks Highly desirable fluency in Portuguese or Spanish Bachelor's degree in Information Technology or related field
Languages
- English
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