Lead Data Architect
New
A
Aker SystemsCloud-based Data Infrastructure
Remote/Home Based, UKFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- AWSETLGCPAzureSparkDevOpsScalaData modelingRedshiftAWS LambdaDistributed Systems
Requirements
- 6+ years of experience in data architecture, with a focus on secure, large-scale, and complex projects
- Extensive experience with AWS services, including but not limited to EC2, S3, RDS, Lambda, and Redshift
- In-depth knowledge and hands-on experience with Apache Flink for real-time data processing
- Proven experience in mentoring and managing teams, with a focus on developing talent and fostering a collaborative work environment
- Strong ability to engage with and influence senior stakeholders, understanding their needs and translating them into actionable technical plans
- Desirable skills in Scala and Spark to support wider programmes of work
- Hands-on Public Cloud experience in either AWS/Azure/Google Cloud Platform, both their ‘services’ and ‘how’ to work in the cloud such as DevOps-centric approach
- Having worked in sensitive data environments and ideally have experience facing off to cyber security specialists
- Understand and apply recognised data modelling patterns and standards
- Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems
Responsibilities
- Engage with stakeholders, both internal and external, to understand business requirements, provide strategic guidance, and ensure that data solutions meet their objectives
- Support the design, development, and implementation of data architectures that meet the needs of our clients, ensuring alignment with security, performance, and scalability requirements
- Utilise extensive experience with AWS tooling and other cloud providers to architect and deploy secure, cloud-native solutions for batch and real-time data processing
- Provide technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security, and cloud computing
- Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data
- Ensure all data solutions comply with industry standards and government regulations, maintaining the highest levels of data security and integrity
- Monitor technical deliverables against the designs, manage and report on design divergences
- Support the sales and pre-sales teams by providing expert advice and input on proposals, ensuring technical feasibility and alignment with client needs
- Advise and support on breaches of data standards and make recommendations about how they should be resolved
- Stay up to date with the latest advancements in cloud technologies, data architecture, and security practices, and apply this knowledge to continuously improve our offerings
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