Data Architect

We are seeking a Senior Data Architect to lead the design and implementation of a robust, scalable, and intelligent data foundation for our global payroll and payments ecosystem. What Makes This Role Exciting

This role is central to our vision of building a unified, AI-driven data platform that supports operational excellence, compliance, and innovation across all markets. Main Responsibilities

• Design and maintain the enterprise data architecture blueprint for global payroll, payments, and compliance systems.
• Define and enforce data modeling standards, metadata management, and master data management (MDM) practices.
• Lead the creation of a unified data platform (data lakehouse/warehouse) to integrate structured and unstructured data across global markets.
• Establish a data governance framework ensuring data quality, lineage, privacy, and compliance (GDPR, SOC 2, ISO 27001, etc.).
• Partner with business leaders to align data architecture with long-term business and AI strategies.
• Architect and optimize data pipelines to support AI/ML models for payroll forecasting, anomaly detection, compliance risk scoring, and payments optimization.
• Collaborate with data scientists and ML engineers to ensure data readiness for training, inference, and real-time decisioning.
• Enable semantic layers and feature stores to standardize AI input features across global datasets.
• Oversee design and development of ETL/ELT pipelines using modern data orchestration tools (e.g., dbt, Airflow, Azure Data Factory, Databricks).
• Champion cloud-native architecture (AWS, Azure, or GCP) to achieve scale, security, and performance.
• Define and enforce best practices for data storage, partitioning, and lifecycle management.
• Collaborate with DevOps and platform teams to implement CI/CD for data pipelines and data observability tools.
• Partner with Product, Engineering, and Finance teams to ensure data designs meet both technical and business needs.
• Act as a trusted advisor to executive leadership, translating data strategy into measurable business outcomes.
• Lead data architecture reviews, mentor data engineers, and drive the adoption of new data tools and frameworks.

• Solid proven experience in data architecture, data engineering, or enterprise architecture roles.
• Proven experience in global payroll, payments, or financial data ecosystems.
• Expertise in data modeling (conceptual, logical, physical) and data warehouse/lakehouse design.
• Strong hands-on experience with modern data stack tools such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.
• Proficiency with data orchestration and transformation frameworks (e.g., dbt, Airflow, Kafka, Spark).
• Deep understanding of data governance, lineage, and compliance in a multinational environment.
• Familiarity with AI/ML data workflows, including feature engineering, data labeling, and data versioning.

Preferred

• Experience in building global financial or payroll platforms with multi-currency, multi-country data pipelines.
• Knowledge of real-time data streaming for payments and reconciliation.
• Experience with metadata management platforms (e.g., Collibra, Alation, DataHub).
• Hands-on experience with API-based data integrations and event-driven architectures.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or related fields., * Taking ownership, working with integrity and respect.
• Being a team player is key to our culture.
• Solution and customer-focused.
• Great initiative with the goal of excellence in achieving results.
• Dedicated to developing and always looking for continuous improvements.
• Be creative, be committed, be engaged and enjoy what you do.

CloudPay is committed to being an equal opportunities employer. Competitive benefits for the role based in Spain or Poland. #J-18808-Ljbffr