£525 Per day
Undetermined
Undetermined
London, UK
Summary: The AWS Data Architect role requires proven experience in AWS environments, focusing on cloud-native data services and data architecture. Candidates should possess strong technical skills in data modeling and pipeline orchestration, along with excellent communication and leadership abilities. A background in energy, trading, or financial markets is advantageous, and familiarity with regulatory requirements is preferred.
Key Responsibilities:
- Design and implement data architecture solutions in AWS environments.
- Utilize cloud-native data services such as S3, Redshift, Glue, and others.
- Develop and manage data models and distributed systems.
- Orchestrate data pipelines using tools like Airflow and Step Functions.
- Collaborate with stakeholders in fast-paced, data-sensitive environments.
- Implement DevOps practices and Infrastructure as Code using Terraform and CloudFormation.
- Align technical decisions with business priorities through strong communication.
Key Skills:
- Proven experience as a Data Architect or Lead Data Engineer.
- Deep understanding of AWS cloud-native data services.
- Strong expertise in data modeling and pipeline orchestration.
- Excellent knowledge of Python and SQL.
- Experience with data governance frameworks.
- Strong communication and leadership skills.
- AWS Certified Solutions Architect/Data Analytics/Database - Specialty (preferred).
- Familiarity with regulatory requirements in energy or trading (preferred).
Salary (Rate): £525 per day
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Proven experience as a Data Architect or Lead Data Engineer in AWS environments
. Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda
. Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)
. Background in energy, trading, or financial markets is a strong plus
. Excellent knowledge of Python, SQL, and data governance frameworks
. Experience working with stakeholders in fast-paced, data-sensitive environments
. Comfortable with DevOps/Infra-as-Code: Terraform, CloudFormation, CI/CD pipelines
. Strong communication and leadership skills to align technical decisions with business priorities
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Preferred Qualifications
. AWS Certified Solutions Architect/Data Analytics/Database - Specialty
. Experience in data mesh or lakehouse architecture
. Familiarity with regulatory requirements in energy or trading
