Senior Data Engineer (Banking domain)

About GFT

GFT Technologies is an AI-centric global digital transformation company. We design advanced data and AI transformation solutions modernize technology architectures and develop next-generation core systems for industry leaders in Banking Insurance Manufacturing and Robotics. Partnering closely with our clients we push boundaries to unlock their full potential. With deep industry expertise cutting-edge technology and a strong partner ecosystem GFT delivers responsible AI-centric solutions that combine engineering excellence high-performance delivery and cost efficiency. Our team of 12000 technology experts operates in 20 countries worldwide offering career opportunities at the forefront of software innovation.

Role Summary

We are looking for a Senior Data Engineer to own the technical foundation architecture and delivery direction of a modern AWS-based Lakehouse platform for a banking environment.

This roleis responsible formaking key architecture and tooling decisions across the data platform stack including ingestion streaming orchestration governance security data warehouse architecture and schema design. The role will work closely with the engineering team andprovidetechnical guidance to two Data Engineers.

Key Responsibilities

• Own the overall data platform architecture and technical direction across the Lakehouse stack.
• Define the platform foundation and toolingselectionusing AWS services such as Redshift S3 Lake Formation MSK Glue and Athena.
• Design the ingestion architecture including CDC streamingbatchingestion and transformation patterns.
• Lead technical decisions forDebezium Kafka/MSK Flink Python-based ingestion and data processing pipelines.
• Define orchestration and lineage approach using Apache Airflow.
• Establish data warehouse architecture data modelling standards schema governance and data mart design principles.
• Define data governance practices including data inventory catalog data quality lineage metadata and ownership.
• Ensure platform design includesappropriate datasecurity privacy access control and regulatory compliance controls.
• Guide and review the work of Data Engineers to ensure alignment with architecture standards and delivery priorities.
• Collaborate with business engineering architecture and banking stakeholders to ensure the platform supports reporting analytics regulatory and operational needs.

Required Skills

• Strong experience in Data Platform Lakehouse or Data Warehouse architecture.
• Hands-on experience with AWS data services especially Redshift S3 Lake Formation MSK Glue and Athena.
• Strongexpertisein data ingestion CDC streaming architecture and batch/real-time data pipelines.
• Practical experience withDebezium Kafka/MSK Flink Python and Apache Airflow.
• Strong understanding of data modelling schema design data warehouse architecture and schema governance.
• Experience defining data governance data catalog data quality lineage and metadata management practices.
• Good understanding of data security privacy access control and compliance requirements.
• Ability to lead technical decisions provide engineering direction and guide Data Engineering teams.
• Strong communicationskills with both technical and business stakeholders.

Domain Experience

• Banking domain experience is strongly preferred.
• Experience with banking data regulatory reporting financial data customer/account data transaction data risk AML/KYC or compliance-related data is highly valuable.

Nice to Have

• Experience working in modern cloud-native data platform environments.
• Exposure toDatabricks SnowflakeBigQuery Synapse or similar modern data platforms.
• Experience with data platform migration legacy data modernization or reporting platform transformation.
• Experience working in Agile delivery teams using Jira and Confluence.

Key Qualifications

• Bachelors degree in Computer Science Information Systems Data Engineering Data Analytics Finance Banking ora related field.
• 7 years of experience in Data Engineering Data Architecture Data Platform or Data Warehouse roles.
• Proven experience leading technical architecture decisions for enterprise-scale data platforms.
• Strong background in AWS-based data platforms and banking orregulated-industryenvironments.

(Note: Due to the high volume of applications we receive we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding)