Data Architect responsible for designing data systems architecture at Amoddex, a consulting firm specialized in IT strategy and transformation. Collaborate on various data projects to enhance organization processes.
About the role
- Senior Data Engineer developing high-impact data solutions for the finance sector at Extractta. Collaborating in a dynamic team while ensuring data governance and security standards.
Responsibilities
- Design, develop and support robust data infrastructure solutions with a focus on scalability, security and efficiency.
- Lead the implementation and maintenance of ecosystems such as Trino, AWS Glue, Redshift, Airflow, Kafka and Spark on Kubernetes (K8s).
- Collaborate with engineering, data science and product teams to ensure smooth integration across systems.
- Diagnose and resolve performance, scalability and reliability incidents.
- Apply and promote best practices in architecture, governance and data monitoring.
Requirements
- Strong experience with data infrastructure ecosystems: Trino, AWS Glue, Terraform, CI/CD, Apache Airflow, Kafka and Spark on Kubernetes.
- Proven experience with cloud computing (AWS).
- Advanced proficiency in Python (including PySpark) and object-oriented programming.
- Demonstrated experience with distributed systems, data warehouses and large-scale ETL/ELT pipelines.
- Practical knowledge of data governance, security and storage (e.g., S3, Redshift).
- Analytical skills and problem-solving with a focus on operational efficiency.
- Good communication skills and experience working collaboratively.
- Certifications such as AWS Certified Solutions Architect or similar (preferred).
- Familiarity with Trino for ad-hoc analysis (preferred).
- Experience with monitoring tools like Datadog or New Relic (preferred).
- Knowledge of data-applied AI, particularly RAG (Retrieval-Augmented Generation) (preferred).
Benefits
- Competitive compensation based on experience;
- Opportunities for growth within the company and participation in strategic projects;
- Dynamic and challenging work environment;
- Opportunity to work at a growing company in the market.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Senior Data Engineer delivering scalable cloud - based data solutions for ASSA ABLOY. Collaborating with cross - functional teams to fulfill data & analytics strategy in a dynamic environment.
Manager of Data Engineering & Automation leading automated, data - driven solutions for Finance at Adobe. Overseeing a team focusing on ETL, RPA, AI, and other technologies for operational excellence.
Senior Data Engineer for major American investment client at CI&T. Joining a team specializing in tech transformation combining human expertise and AI.
Data Architect II designing and implementing data solutions for SAP and Microsoft Fabric integration at Sun Chemical. Leading modernization efforts in enterprise data ecosystems with advanced analytics.
Data Engineer Analyst democratizing finance data at Itaú. Supporting decision - making processes for Finance and Risk business areas with high - quality data.
Sr. Data Engineer for Aramark, developing cloud - native service - oriented products to enhance data processing capabilities. Work closely with teams to deliver modern data products and frameworks.
Data Architect defining, evolving, and governing data models for capital markets trading and finance at a leading global firm. Engaging with senior stakeholders in a hybrid role based in London.
Data Engineer building data solutions for clients at Aambience Services using innovative technologies. Collaborating with teams to ensure data quality and performance.
Data Architect designing and implementing data solutions and governance procedures for Uni Systems. Optimizing data architecture and collaborating on business intelligence projects in a hybrid environment.