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Job summary
A leading technology consulting firm located in Bari, Italy, is seeking a Lead Data Architect AWS. This role involves managing key clients, leading data projects, and mentoring engineers. The ideal candidate has over 5 years of experience in data analytics, particularly within AWS cloud environments, and possess strong problem-solving skills. This position offers a collaborative work environment and opportunities for growth.
Qualifications
- Proven experience in the field of data analytics, preferably from Consulting companies.
- Minimum of 5 years of experience in managing a team of BI/data analysts up to senior level.
- Strong in data manipulation and BI tools.
Responsibilities
- Manage Key Clients and relationships with AWS.
- Lead Data&Analytics AWS projects.
- Mentor other engineers in coding best practices.
Skills
Tools
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Responsibilities
Data & Intelligence Business Line NTT DATA is looking for a Lead Data Architect AWS.
Your role as a Lead Data Architect AWS will be to:
- Manage Key Clients
- Manage the relationships with AWS
- Manage the AWS Center of Excellence
- Lead Data&Analytics AWS projects
- Support Recruitment
- Support Value Proposition
- Support Development of skills and capabilities, such as:Design Data Platform on AWS data store such Redshift, DynamoDB, RDS, S3Design operations architecture and conduct performance engineering for large scale data lakes in production environmentApply the Well-architected framework to the solution design and implementationCreate and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services (such as GLUE, Lambda) or using data management technologies (such as Talend or Informatica)Participate in client design workshops and provide tradeoffs and recommendations towards building solutions.Mentor other engineers in coding best practices and problem solving
Required Skills
- Proven experience in the field of data analytics, preferably from Consulting companies
- Minimum of 5 years of experience in managing a team of BI/data analysts up to senior level
- Working experience in AWS cloud native environment
- Experience and knowledge of Big Data Architectures, cloud and on premise
- AWS infrastructure and networking working experience
- AWS Collection Services: Kinesis, Kafka, Database Migration Service
- AWS main Storage Service: S3, RDS, Redshift, DynamoDB
- AWS main Compute Service: EC2, Lambda, ECS, EKS
- Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
- Working experience in migrating workloads from on premise to cloud environment
- Experience in monitoring distributed infrastructure, using AWS tools or open source ones Experience in monitoring distributed infrastructure, using AWS tools or open source ones such as CloudWatch, Prometheus, and the ELK stack
- Working experience with Agile Methodology and Kanban
- Strong in data manipulation and BI tools
- Solid stakeholder management skills, have dealt with top management to drive various projects
- Proactive in taking initiatives, exceptional problem-solving skills, strong presence to manage cross-functional teams and execute well in a highly collaborative role
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.