Lead Data Architect - Cheltenham
Sanderson Recruitment Plc
Cheltenham, UK
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
£100,000.0
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Microsoft Azure
Big Data
Cloud Computing
Cyber Security
Data Architecture
Extract Transform Load (ETL)
DevOps
Distributed Systems
Data Streaming
+8 more
Data Processing
Apache Spark
Amazon Relational Database Service
Apache Flink
Real Time Data
Data Management
Functional Programming
Amazon Redshift
Job description
- Engage with senior stakeholders to understand requirements and provide strategic data architecture guidance
- Design and deliver secure, scalable data platforms aligned to performance and regulatory requirements
- Architect cloud-native batch and real-time data solutions using AWS and other public cloud platforms
- Provide technical leadership across cross-functional teams and set best practice standards
- Design data models, ETL pipelines, warehousing solutions, and distributed systems
- Build and support real-time streaming platforms using Apache Flink and related technologies
- Ensure compliance with industry standards and government regulations
- Track delivery against agreed designs and manage design deviations
- Support pre-sales and bids with technical input and solution design
- Advise on data standard breaches and recommend remediation approaches
- Stay current with emerging data, cloud, and security technologies
Technologies:
- AWS
- Lambda
- Redshift
- Architect
- Azure
- Big Data
- Cloud
- DevOps
- EC2
- ETL
- Flink
- GCP
- Support
- Scala
- Security
- Spark
Requirements
- 6 years experience in data architecture on complex, secure programmes
- Strong hands-on AWS experience, including EC2, S3, RDS, Lambda, and Redshift; Azure or GCP is a bonus
- Proven experience using Apache Flink for real-time, high-throughput data processing
- Experience leading, mentoring, and developing technical teams
- Confidence engaging with senior technical and non-technical stakeholders
- Knowledge of recognised data modelling patterns and standards
- Experience working in sensitive or regulated data environments
- Exposure to cyber security teams and secure-by-design principles
- Desirable experience with Scala, Spark, and wider big data ecosystems
- Strong understanding of cloud operating models, DevOps, and modern delivery practices
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