iXceed Solutions
Data Architect
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Senior Technology Architect / Technology Architect (Data Architect)
Location: London, UK
Work Mode: Hybrid (10 days Work From Office per month, subject to business requirements)
Contract Duration: 6 Months
About the Role
We are looking for an experienced Senior Technology Architect / Data Architect to design, build, and operate scalable data pipelines and modern data products. You will play a key role in enabling a cloud-native Data Mesh architecture by integrating legacy enterprise systems with AWS-based data platforms.
This is an excellent opportunity to work on large-scale enterprise data transformation initiatives involving Databricks, Kafka, AWS, and modern data engineering practices.
Key Responsibilities
- Design, develop, and maintain scalable batch and streaming data pipelines.
- Build data ingestion pipelines from legacy DB2 (Mainframe) and SQL Server systems into an AWS-based Data Lake.
- Implement real-time data ingestion using Confluent Kafka and land data into Amazon S3.
- Develop transformation and analytics pipelines in Databricks using Spark, PySpark, and SQL.
- Implement the Medallion Architecture (Bronze, Silver, Gold) to build scalable analytics solutions.
- Design and deliver reusable, high-quality data products aligned with Data Mesh principles.
- Ensure data quality, governance, security, and reliability across all data pipelines.
- Collaborate with business stakeholders, domain teams, and platform teams to enable self-service analytics and data consumption.
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Required Skills
- 10+ years of experience in Data Architecture or Data Engineering.
- Strong hands-on experience with Databricks (Spark, PySpark, SQL).
- Extensive experience with Data Lake/Lakehouse architectures.
- Strong knowledge of Kafka / Confluent Kafka and streaming data pipelines.
- Experience integrating legacy systems such as DB2 (Mainframe) and Microsoft SQL Server.
- Good working knowledge of AWS, particularly Amazon S3.
- Strong understanding of Data Mesh, Data Products, and modern data engineering best practices.
- Experience designing scalable batch and real-time data processing solutions.
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Nice to Have
- Experience working within Banking or Financial Services environments.
- Knowledge of Data Governance, Metadata Management, and Regulatory Reporting.
- Experience with enterprise-scale cloud migration and modernization initiatives.
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