Data Architect

November 12

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CloudPay

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HR Tech • SaaS • Fintech

CloudPay is a global payroll and payments company that delivers unified, cloud-based managed payroll services and salary payment solutions for multinational employers. The platform integrates with major HCM systems (Workday, SAP SuccessFactors, Oracle, HiBob) and offers global payroll processing, payments, pay-on-demand, compliance support, APIs, and AI-enabled payroll automation. CloudPay targets enterprise and midsize businesses with a SaaS delivery model and extensive global payments and country payroll expertise.

1001 - 5000 employees

Founded 1996

👥 HR Tech

☁️ SaaS

💳 Fintech

📋 Description

• Enhance and evolve the company’s existing Databricks-based data platform, improving performance, scalability, and governance. • Design and implement data architectures based on the medallion framework (bronze, silver, gold) to enable clean, traceable, and reusable datasets. • Manage and extend Unity Catalog for consistent data governance, lineage tracking, access control, and security compliance. • Develop and optimize data ingestion and processing pipelines using Apache Spark, Kafka, and RabbitMQ for both real-time and batch workloads. • Architect seamless data flows across Snowflake, BigQuery, MySQL, PostgreSQL, and MongoDB environments. • Integrate and harmonize product analytics data from platforms such as Firebase Analytics and Pendo. • Support downstream BI and analytics tools including Sisense and Power BI through well-modeled, performant data layers. • Establish and maintain data quality, metadata management, and observability frameworks. • Ensure all data architecture and operations adhere to ISO 27001, SOC 2 Type II, and GDPR standards, embedding security and compliance into the design. • Collaborate with engineering and business stakeholders to align data strategies with organizational goals. • Continuously assess and recommend improvements for data infrastructure, tooling, and best practices.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. • Solid experience in data architecture or data engineering, with proven leadership in building or evolving Databricks-based ecosystems. • Expertise in Apache Spark (PySpark or Scala) and Databricks Unity Catalog. • Hands-on experience designing and managing medallion architecture data models. • Strong background in streaming and messaging systems such as Kafka and RabbitMQ. • Proficiency with data warehouses (Snowflake, BigQuery) and relational/NoSQL databases (MySQL, PostgreSQL, MongoDB). • Experience with data integration from SaaS sources such as Firebase Analytics and Pendo. • Solid understanding of data governance, privacy, and security frameworks aligned to ISO 27001, SOC 2, and GDPR. • Familiarity with BI and visualization tools such as Sisense and Power BI, and how to model data effectively for analytics. • Strong architectural thinking, documentation, and communication skills.

🏖️ Benefits

• Competitive benefits for the role based in Spain or Poland.