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

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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