At F1, being the best of the best isn’t just a goal—it’s in our DNA. We’re on the lookout for an incredible Data Architect who thrives on innovation and excellence, with experience in the AWS environment, including S3, Redshift, and other AWS products.
Based in our London office and reporting into the Senior CRM & Customer Service Ops Manager, you will:
Design & Strategy:
Architect cutting-edge, scalable data solutions using AWS services, ensuring peak performance and reliability.
Data Management:
Masterfully manage data storage, retrieval, and processing across AWS S3, Redshift, and other AWS tools.
Innovation:
Lead the charge in integrating the latest AWS technologies and best practices into our data architecture.
Leadership:
Inspire and mentor a team of top-tier data engineers, fostering a culture of relentless improvement and collaboration.
Optimization:
Continuously refine data workflows and processes to achieve unparalleled efficiency and minimal latency.
Security:
Implement and uphold robust data security protocols to safeguard our most valuable asset—information.
Specification:
AWS Mastery: Deep expertise with AWS services, particularly S3, Redshift, Lambda, Glue, and RDS.
Data Modeling: Exceptional skills in data modeling, ETL processes, and data warehousing.
Spark/EMR: Big data processing frameworks.
AWS S3: Data storage solutions.
AWS Redshift: Data warehousing and analytics.
AWS Lambda: Serverless computing for ETL processes.
AWS Glue: Data integration.
AWS RDS: Managed relational databases.
AWS Lake Formation: Data lake management and governance.
Python/SQL: Programming for data processing and querying.
Amazon Kinesis: Real-time data streaming.
dbt (Data Build Tool): Data transformations in warehousing.
Data Governance Tools: Understanding of AWS Data Catalog or Alation.
Data Governance Policies: Understanding governance frameworks.
Data Quality Tools: Ensuring accuracy and consistency.
Data Modelling Tools: Experience with tools like Erwin or Lucidchart.
Be the force behind Formula 1!
Division:
Technical
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Based in our London office and reporting into the Senior CRM & Customer Service Ops Manager, you will:
Design & Strategy:
Architect cutting-edge, scalable data solutions using AWS services, ensuring peak performance and reliability.
Data Management:
Masterfully manage data storage, retrieval, and processing across AWS S3, Redshift, and other AWS tools.
Innovation:
Lead the charge in integrating the latest AWS technologies and best practices into our data architecture.
Leadership:
Inspire and mentor a team of top-tier data engineers, fostering a culture of relentless improvement and collaboration.
Optimization:
Continuously refine data workflows and processes to achieve unparalleled efficiency and minimal latency.
Security:
Implement and uphold robust data security protocols to safeguard our most valuable asset—information.
Specification:
AWS Mastery: Deep expertise with AWS services, particularly S3, Redshift, Lambda, Glue, and RDS.
Data Modeling: Exceptional skills in data modeling, ETL processes, and data warehousing.
Spark/EMR: Big data processing frameworks.
AWS S3: Data storage solutions.
AWS Redshift: Data warehousing and analytics.
AWS Lambda: Serverless computing for ETL processes.
AWS Glue: Data integration.
AWS RDS: Managed relational databases.
AWS Lake Formation: Data lake management and governance.
Python/SQL: Programming for data processing and querying.
Amazon Kinesis: Real-time data streaming.
dbt (Data Build Tool): Data transformations in warehousing.
Data Governance Tools: Understanding of AWS Data Catalog or Alation.
Data Governance Policies: Understanding governance frameworks.
Data Quality Tools: Ensuring accuracy and consistency.
Data Modelling Tools: Experience with tools like Erwin or Lucidchart.
Be the force behind Formula 1!
Division:
Technical
#J-18808-Ljbffr
