Cloud Data Engineering Director
7 days ago
Flint Technology Services Ltd is seeking a highly experienced Cloud Data Engineering Director to lead our migration to AWS.
Job Title: Cloud Data Engineering Director
Duration: 6 month rolling contract, with possibility of extension
Pay Rate: £80-£100 per hour (inside IR35)
In this role, you will be responsible for managing and scaling a team of data engineers and cloud specialists to drive our migration to AWS. Your goal will be to architect and implement cloud-native solutions that enhance our data processing, analytics, and storage capabilities.
About the Role:
- Lead the AWS migration: Oversee the design, architecture, and implementation of our data migration from on-premises systems to AWS.
- Team Leadership: Manage, mentor, and grow a high-performing team of data engineers, architects, and cloud specialists.
- Cloud Strategy: Develop and execute the AWS strategy, ensuring alignment with business goals and future scalability.
- Architecture & Design: Build and optimize scalable, secure, and high-performance data infrastructure in AWS, leveraging services such as S3, Redshift, Glue, RDS, and more.
- Collaboration: Work with cross-functional teams, including DevOps, Software Development, and Product Management, to ensure seamless integration and delivery.
- Data Governance: Implement best practices for data governance, security, compliance, and monitoring.
- Innovation: Stay on the cutting edge of AWS advancements and ensure our cloud solutions are future-proof and innovative.
About You:
- Experience: 7+ years in data engineering or cloud infrastructure, with at least 3 years of experience leading teams.
- Cloud Expertise: Strong hands-on experience with AWS services and architecture (EC2, S3, Redshift, Lambda, Glue, etc.).
- Leadership: Proven experience leading and managing technical teams, including recruitment, mentorship, and performance management.
- Technical Skills: Strong knowledge of cloud-native data processing and storage, including relational and non-relational databases, ETL pipelines, and data lakes.
- Agile Methodology: Familiarity with Agile development processes and DevOps culture.
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