Data Architect/ Data Modeller

Hello Team

Please find the requirement details below, along with the attached JD for your reference.

Kindly review and share suitable profiles so that we can proceed accordingly.

• Client Name Bank Julius Baer
• Cost for per day
• Role Data Architect/ Data Modeller
• No of requirements: 1
• Remote Work: Yes/No Hybrid (3 WFO and 2 WFH
• Country name Hohlstrasse Z rich, Swiss

Experience /Skill details (in years) : refer the JD

Contract details:

• Latest Joining date - asap
• Contract Duration 12 months
• Remote Work: Yes/No Hybrid (3 WFO and 2 WFH)
• Working from anywhere in Europe (If yes to remote work) No,
• If No for the previous, then what is the location of hire pls refer the location below
• If Hybrid/Onsite share the travel location- Hohlstrasse 602, 8048 Z rich
• Working hours (Specify if not 40 hours in a week) 40 hrs /week

Job Details:

• Job Title: Data Architect/ Data Modeller
• Job Type : Contract - Hybrid
• Job Duration : 12 Months
• Job Location : Zurich- Switzerland
• Client : Cognizant

About the Role

Role Description

• Senior Data Integration Developer responsible for designing technology solutions to integrate and improve the quality of enterprise data assets.
• Work closely with Data Analysts and Data Modelers.
• Develop, coordinate, and implement principles, guidelines, and standards related to Data Architecture, Data Modeling, and Data Security.
• Translate business requirements into data and engineering specifications.
• Implement and promote Data Platform and transformative data processes and services.
• Cover end-to-end data pipelines, from enterprise reporting to data science.

Experience:

• At least 5 10 years of professional experience in Data Architecture or Data Engineering.
• Experience in solution architecture, solution conception, implementation, and introducing data-driven products and services.
• Experience managing stakeholders across heterogeneous business and technology organizations.
• Experience in development, coordination, and maintenance of data models.
• Experience with large-scale data migration projects involving Big Data on-premise architecture.
• Hands-on experience integrating Data Science Workbenches, such as Dataiku.
• Extensive experience with containerized technologies, including Docker and Kubernetes.

Skills:

• Good working knowledge of Presto / Trino and distributed querying.
• Strong experience with Apache Big Data technologies such as Hadoop, Hive, HBase, Spark, Solr, Tez, and Kafka.
• Experience with job orchestration tools such as Airflow or NiFi.
• Experience defining and documenting Data Quality standards, policies, and processes.
• Expert-level SQL skills across classic DWH and distributed environments.
• Strong Python skills for automation and troubleshooting, including Jupyter Notebooks or common IDEs.
• Experience with data preparation, reporting, analytics, and visualization using Tableau, Power BI, or Python.
• Knowledge of Agile methodologies such as Scrum and SAFe.
• Knowledge of Banking data products / Financial Services.
• Good knowledge of German is beneficial; excellent English communication is essential.
• Higher Education (e.g "Fachhochschule", "Wirtschaftsinformatik")