AWS Cloud Data Architect

Are you a technologist who has a hunger to dig deep and get involved in providing first-class solutions to real-world problems?First Derivative is a people-first company. We are powered by our ever-growing teams of specialist problem-solvers and process-evolvers. Our extensive capabilities offer agile solutions and exciting career opportunities – whether you're in the early stages of your career, looking for a new direction, or wanting to continue in a position of leadership.Joining the world’s largest Capital Markets dedicated consultancy, you will have the opportunity to gain exposure to a range of mission-critical projects, tech stacks, clients and a company that prides itself on career development, variety, and flexibility.AWS Cloud Data ArchitectWe are looking for a highly skilled AWS Cloud Data Architect to join our FD Data team. The ideal candidate will be an experienced Python engineer/architect with a strong background in designing and architecting cloud-based data pipelines. This role focuses on building robust data factory frameworks/components.Essential Requirements:Proven experience as a Cloud Data Architect, preferably in AWS, AWS Expertise:AWS Lake Formation, AWS Glue, AWS S3, AWS Athena, AWS EMR (Serverless), EC2AWS Lambda, AWS DMS, AWS QuickSight, AWS Step Functions, SQS/SNSRDS Postgres, MySQL, Aurora, DynamoDB, MWAA (Managed Workflows for Apache Airflow)Expertise in Python programming, with a deep understanding of the PySpark library. Experience in building and maintaining data analysis frameworks, ideally within the financial sector.Big Data Technologies:Hadoop, HDFS, Spark, PySpark, Hive, Trino, Jupyter, DatabricksStrong background in architecting code and data pipelines.Hands-on experience with end-to-end data platform design, following Data Mesh and Data Fabric principles.Ability to bridge the gap between business, technology, and data architectures.Advanced knowledge of software design and development methodologies, including Agile and Waterfall.Preferred Qualifications (Nice to Have):Experience in the financial industry.Familiarity with additional data processing libraries and tools.Proven expertise in data modelling.FD provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Candidate personal data will be processed in line with our Global Candidate Privacy Notice available on our website.