Data Architect Digital Sales Platform
Zürich, Switzerland - Zürich
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UBS
UBS is a global firm providing financial services in over 50 countries. Visit our site to find out what we offer in Germany.City
Zürich
Job Type
Full Time, Part Time
Country / State
Switzerland - Zürich
Function Category
Information Technology (IT)
Contact Details
UBS Business Solutions SA
UBS Recruiting
Your team
You will be working in the Digital Sales Platform Crew which is targeting itself as best in class sales- & lead management solution provider, by delivering AI empowered solutions along the sales & marketing funnel, across different channels, business segments and divisions. As a Data Architect, you have a central role in the timely delivery of data services and data products to our stakeholders.
Your expertise
As a Data Architect, you are expected to have:
• strong Data Modeling Skills: Expertise in conceptual, logical, and physical data modeling.
• data Management and Storage Systems Knowledge: Understanding of various database technologies (OLAP, OLTP, NoSQL databases), data warehousing and lakehousing, Data Mesh and Data Products.
• data Integration Expertise: Experience with ETL (Extract, Transform, Load) processes, data integration and streaming using Databricks.
• cloud Computing Knowledge: Experience with Azure cloud platform.
• programming Languages: Proficiency in languages like SQL, Python, Java or Scala.
• communication and Collaboration Skills: Ability to effectively communicate technical concepts to both technical and non-technical audiences.
You are expected to provide:
• data Architecture: Defining the structure, format, and rules for how data is stored, accessed, and used within an organization. Ability to define a data architecture strategy supporting the organization AI vision.
• data Modeling: Creating conceptual, logical, and physical data models to represent data entities, relationships, and rules.
• data Governance: Establishing and enforcing policies and procedures for data quality, security, and access.
• data Integration: Ensuring seamless data flow between different systems and applications.
• collaboration: Working with various teams (e.g., data scientists, engineers, business analysts) to understand their data needs and provide solutions.
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
How we hire
We may request you to complete one or more assessments during the application process. Learn more
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Databricks Data governance Data management Data quality Data Warehousing ETL Java NoSQL OLAP Python Scala Security SQL Streaming
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