Data Architect

· Job Title: Data Architect - Technology Architect

· Location: London, UK (Hybrid, 10 days WFO/month (can vary as per requirement)

· Duration: 6 months (Inside IR35)

JOB DETAILS:

Minimum years of experience: 10+ years

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 Amazon 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