Data Architect
Posted 1 week ago by Project Recruit
Negotiable
Undetermined
Hybrid
London, UK
Summary: The Data Architect role involves designing and evolving data architecture to meet business and engineering needs for a leading global IT services supplier. This hybrid position requires attendance at the London office 3-4 days a week and is a temporary contract lasting over 6 months. The role emphasizes cloud-native data solutions on AWS and collaboration with various stakeholders. Candidates should possess extensive experience in data architecture and engineering, particularly with Snowflake and AWS services.
Key Responsibilities:
- Design and evolve data architecture aligned with business, analytical, and engineering needs.
- Lead end to end architecture for cloud native data solutions on AWS.
- Define standards, patterns, and best practices for data modelling, data flows, and platform usage.
- Develop scalable Snowflake based data architectures including warehouses, databases, schemas, roles, and secure data sharing.
- Architect and optimize ETL/ELT pipelines using services such as:
- DBT, AWS Glue, Lambda, Kinesis, S3, EMR.
- Design high performance Snowflake data models (3NF, dimensional, Data Vault, etc.).
- Optimize query performance, clustering, micro-partitioning, and resource consumption.
- Work closely with Data Engineers, Analysts, Product Managers, and Business Stakeholders.
- Provide architectural guidance and mentorship across data and engineering teams.
- Translate business needs into scalable data solutions.
Key Skills:
- 6+ years in Data Architecture, Data Engineering, and related fields with a similar remit to the descriptions here
- 2+ years' experience working as an independent contractor
- Strong grasp of data modelling, data warehousing concepts and performance optimization techniques
- Hands-on expertise with Snowflake (architecture, performance tuning, security, Snowpipe, streams/tasks).
- Strong experience with AWS cloud data ecosystem, ideally including: S3, Glue, Lambda, Redshift, EMR, Kinesis, IAM, CloudWatch.
- Strong SQL skills and proficiency in Python, DBT
- Understanding of data governance frameworks (eg, Collibra, Alation is a plus).
- Hands-on exposure to cloud platforms, especially AWS
- Experience working in agile teams
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Data Architect
Our client, a leading global supplier for IT services, requires Data Architect to be based at their client's office in London, UK.
This is a hybrid role - you can work remotely in the UK and attend the London office 3-4 days per week
This is a 6+ month temporary contract to start ASAP
Day rate: Competitive Market rate
Key Responsibilities
- Design and evolve data architecture aligned with business, analytical, and engineering needs.
- Lead end to end architecture for cloud native data solutions on AWS.
- Define standards, patterns, and best practices for data modelling, data flows, and platform usage.
- Develop scalable Snowflake based data architectures including warehouses, databases, schemas, roles, and secure data sharing.
- Architect and optimize ETL/ELT pipelines using services such as:
- DBT, AWS Glue, Lambda, Kinesis, S3, EMR.
- Design high performance Snowflake data models (3NF, dimensional, Data Vault, etc.).
- Optimize query performance, clustering, micro-partitioning, and resource consumption.
- Work closely with Data Engineers, Analysts, Product Managers, and Business Stakeholders.
- Provide architectural guidance and mentorship across data and engineering teams.
- Translate business needs into scalable data solutions.
Key Requirements
- 6+ years in Data Architecture, Data Engineering, and related fields with a similar remit to the descriptions here
- 2+ years' experience working as an independent contractor
- Strong grasp of data modelling, data warehousing concepts and performance optimization techniques
- Hands-on expertise with Snowflake (architecture, performance tuning, security, Snowpipe, streams/tasks).
- Strong experience with AWS cloud data ecosystem, ideally including: S3, Glue, Lambda, Redshift, EMR, Kinesis, IAM, CloudWatch.
- Strong SQL skills and proficiency in Python, DBT
- Understanding of data governance frameworks (eg, Collibra, Alation is a plus).
- Hands-on exposure to cloud platforms, especially AWS
- Experience working in agile teams
Due to the volume of applications received, unfortunately we cannot respond to everyone.
If you do not hear back from us within 7 days of sending your application, please assume that you have not been successful on this occasion.