Data Architect/Technology Architect

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Job Title: Technology Architect
Location: London - Hybrid, 10 days WFO/month
Duration: 6 months
Pay Rate: £434 per day all inc. (Inside IR35)

Job Description
We are looking for a Data Architect to design, build, and operate scalable data pipelines and data products, enabling a modern data mesh architecture. The role focuses on integrating Legacy systems with cloud-native platforms to support analytics, reporting, and domain-owned data products.

Primary Skills

• Strong experience with Databricks (Spark, PySpark/SQL) and data lake architectures.
• Hands-on experience with streaming technologies, especially Kafka/Confluent Kafka.
• Experience integrating Legacy data sources such as DB2 (Mainframe) and SQL Server.
• Working knowledge of AWS data services, especially S3.
• Understanding of data product thinking, data mesh concepts, and modern data engineering best practices.

Key Responsibilities

• Build and maintain batch and streaming data pipelines from Legacy Mainframe DB2 and on prem SQL Server systems into an AWS-based data lake.
• Implement Real Time ingestion using Confluent Kafka and land data in Client S3.
• Develop data transformations and analytics pipelines in Databricks using the medallion architecture (Bronze, Silver, Gold).
• Design and deliver high-quality, reusable data products aligned to data mesh principles.
• Ensure data quality, reliability, security, and governance across pipelines.
• Collaborate with domain teams, platform teams, and stakeholders to enable self-serve analytics and consumption.

Good to have

• Experience in banking or financial services data platforms.
• Familiarity with data governance, metadata management, and regulatory reporting

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.