Data Platform Lead

• Lead the design, development, and operation of Avarda's modern data platform, ensuring it is cloud-native, event-driven, and fit for both operational and analytical use cases.
• Define and enforce data contracts, standards, and documentation to provide trusted, reusable, and accessible data products.
• Build and maintain the canonical "single view of the consumer" that underpins both analytics and production systems.
• Establish practical governance practices for metadata, lineage, and data quality across domains.
• Collaborate with the Product Manager for Shared Services and senior stakeholders (Engineering, Analytics, Country Managers) to align platform capabilities with business needs.
• Balance compliance and innovation by working with the Data Protection Officer and Compliance to ensure data privacy and regulatory requirements are met.
• Contribute hands-on to development, ensuring the right technical patterns and tools are adopted.
• Mentor engineers and promote best practices in data modeling, event-driven design, and cloud-native development.
• Author and maintain technical documentation and architecture decision records to support transparency and scalability.

Do you have experience in Scalability?, Do you have a Master's degree?, * Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.

• 5+ years of professional experience in data engineering or platform engineering, with at least 2 years in a senior or lead role.
• Proven expertise designing and implementing cloud-native, event-driven data platforms (Azure, AWS, or GCP).
• Strong skills in data modeling, ETL/ELT pipelines, and streaming architectures (e.g., Kafka, Event Hubs).
• Experience with metadata management, lineage, and data quality frameworks.
• Solid understanding of microservices, APIs, and data product thinking.
• Proficiency in SQL and at least one modern programming language (Python, Scala, Java, .NET).
• Familiarity with DevOps practices including CI/CD pipelines, containerization, and infrastructure-as-code.
• Excellent communication and stakeholder management skills, with the ability to bridge business and technical domains.

Preferred Skills

• Hands-on experience in regulated industries such as banking or finance.
• Knowledge of data privacy regulations (GDPR, PSD2) and practical approaches to compliance.
• Experience implementing self-service analytics platforms and semantic data layers.
• Familiarity with tools such as dbt, Databricks, or Snowflake.