Data Engineer/Architecture

Role overview

You will:

• Design and maintain scalable, secure, high-performance data architecture
• Build robust ETL/ELT pipelines for batch and streaming data
• Enable analytics, BI, and AI workloads through reliable data platforms
• Ensure regulatory compliance and data governance for sensitive financial data

Duties:

• Design and maintain scalable, secure, and high-performance data architectures
• Define data models, schemas, and standards across transactional and analytical systems
• Architect data lakes, data warehouses, and real-time data pipelines
• Ensure alignment with fintech regulatory and compliance requirements
• Build and maintain ETL/ELT pipelines for batch and streaming data
• Integrate data from internal systems, third-party APIs, and financial data providers
• Optimize data processing for performance, reliability, and cost efficiency
• Ensure data quality, consistency, and availability
• Develop and manage cloud-based data platforms (AWS, GCP, or Azure)
• Implement infrastructure-as-code and CI/CD for data pipelines
• Monitor and troubleshoot data systems in production
• Implement data security, access controls, encryption, and monitoring
• Support data governance, lineage, and metadata management
• Collaborate with compliance and risk teams on audits and regulatory needs
• Work closely with product managers, analysts, and ML engineers
• Provide technical guidance and best practices for data usage
• Document architectures, workflows, and standards
• Mentor junior data engineers (if applicable)

Requirements:

• 5+ years of experience in data engineering, data architecture
• Strong proficiency in SQL and data modelling (dimensional and/or normalized
• Experience building data pipelines using tools such as Airflow, dbt, Spark, or similar
• Strong programming skills in Python, Scala, or Java
• Hands-on experience with cloud data services (BigQuery, Redshift, Snowflake, Databricks)
• Experience with both batch and streaming data systems (Kafka, Kinesis, Pub/Sub)
• Solid understanding of data security, privacy, and governance principles
• Experience in fintech, banking, payments, or financial services
• Familiarity with regulatory frameworks (PCI DSS, SOC 2, GDPR)
• Experience supporting analytics, BI, and machine learning workloads
• Knowledge of event-driven and real-time data architectures
• Prior experience leading architectural decisions or data platform migrations