Data Architect

Pictet Group
Geneva, Switzerland
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, French

Job location

Geneva, Switzerland

Tech stack

Java
API
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
Batch Processing
Cloud Computing
Data Architecture
Data Governance
Data Hub
Data Integration
ETL
Data Transformation
Data Systems
Data Warehousing
Python
Power BI
Software Systems
SQL Databases
Data Streaming
Tableau
Parquet
Data Processing
Snowflake
Change Data Capture
Data Lake
Information Technology
Kafka
Data Management
Redshift

Job description

Join Pictet Tech, a leader in innovative software solutions. Be part of a dynamic team driving transformative advancements in finance.

Tasks

  • Contribute to the modernization of data platforms and solutions.
  • Design and optimize scalable data architectures using cloud tools.
  • Oversee data integration and governance, ensuring best practices., As a Data Architect, you will contribute to the modernization of the group's current data platforms. With your ideas and initiatives, you will have the opportunity to propose and build innovative solutions while keeping the group's constraints in mind. You will play a key role in implementing solutions for data processing, management, and governance.

Your key responsibilities will include:

  • Leverage cloud platforms (AWS, Azure) and tools such as Redshift, Snowflake, S3/Parquet and Iceberg to develop and optimize data solutions.
  • Design and enhance modern and scalable data architectures.
  • Oversee data modelling and manage data integrations/workflows using patterns like ETL, ELT, APIs, batch processing, Change Data Capture and messaging technologies (e.g., Kafka, MQ).
  • Play an active role in both planning and implementing initiatives, making results-driven and hands-on contributions.
  • Play a strategic role when needed:

-Develop and communicate target architecture roadmaps and present technical strategies to stakeholders and leadership. -Advocate for best practices in data management, ensure adherence to data quality standards, promote robust data governance practices and act as a champion for data-driven decision-making within the organisation. -Collaborate with and support technical teams, fostering knowledge-sharing and effective communication among data experts.

Requirements

  • Bachelor's degree in computer science and relevant data experience.
  • Proficient in Python, SQL, and cloud platforms like AWS and Azure.
  • Strong knowledge of data management techniques and tools., * Academic background in computer science.
  • First relevant experience in the data field.
  • Development skills (Python, Java) and knowledge of BI and data transformation tools. Skill in SQL is a must.
  • Expertise in data management: Data Hub, Data Warehouse, Data Lake.
  • Proficiency in integration concepts (ETL, ELT, API, batch, streaming).
  • Experience with cloud platforms (AWS, Azure) and associated tools.
  • Good knowledge or experience with tools like DBT, Informatica, Tableau, or Power BI is a plus.
  • Proficiency in French is essential, with a good command of English required.
  • Swiss resident.

About the company

The Pictet Tech division specialises in designing and integrating cutting-edge software applications, including advanced portfolio management systems, sophisticated trading platforms and comprehensive banking and corporate solutions. As a key contributor to the Group's strategic advancements, the Pictet Tech division plays a vital role in driving transformative innovations that enhance our services and deliver exceptional value to our clients. As a member of the Data Platforms unit, you will be instrumental to the design, integration, and evolution of reliable, high-quality data platforms. Our mission is to drive innovation by delivering strong infrastructure, efficient data distribution, and advanced analytics solutions, all while enhancing the development experience for product teams and meeting key business objectives.

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