Senior Manager Data Architect Artificial Intelligence & Data

Position: (Senior) Manager Data Architect Artificial Intelligence & Data 19824
Location: Zürich

Job Openings (Senior) Manager Data Architect Artificial Intelligence & Data 19824

About the job (Senior) Manager Data Architect Artificial Intelligence & Data 19824

Virtido is an entrepreneurial and innovative IT and business process outsourcing company headquartered in Zurich, Switzerland. We realize ideas and projects from strategic conception to technical implementation in close cooperation with our dynamic clients.

About the client and the job

We work together with our partner in Switzerland and support him in finding the best candidate for the clients. The client is one of the leading audit and advisory firms in Switzerland and worldwide.

We are looking for a (Senior) Manager Data Architect Artificial Intelligence& Data to work on-site in our customers' office in Zurich.

Responsibilities

• As a Data Architect in our AI & Data team, you will help senior people at our clients to make the right architectural choices and lead the design and
  implementation of innovative enterprise-wide solutions.
• Your will be able to make significant impact in the following areas:
• Lead Enterprise Data Architecture design: help clients modernize complex system landscapes spanning multiple solutions (e.g., MDM, CRM, ERP, Cloud
  
  DWH) that need to be integrated. You will work with senior client stakeholders to design enterprise level architecture, pragmatic and enforceable
  architecture standards, and plan with them the modernization journey.
• Lead Cloud Data Platform design & implementation: help clients build scalable, high-performance Cloud data platforms that meet the business needs.
• Your work will cover data modelling, data integration, transformation pipelines, Dev Ops, and use of AI to build and operate these platforms smartly. You
  will make key design decisions and lead onshore, near-/offshore engineering teams developing the solution.
• Architect Integrated Solutions: help clients design and build integrations required to run their business processes and deliver data products. This may
  include integration between Cloud data platform and AI/Gen AI platform or between MDM or CRM systems and Cloud data platform.
• Strengthen our market positioning and opportunities funnel: lead our architecture footprint in the market through events, conferences, and discussions
  with our key clients, internal teams, and alliance partners.
• Develop our internal know-how and expertise: mentor junior team members within AI & Data and set strategic focus for expertise building within
  Switzerland and in relation to near- and offshore teams.

Requirements Experience

• You have 4 or more years of relevant professional experience in the role of a Data Architect and have led teams that designed and implemented complex
  cloud-based ecosystems.
• You have engineering background and least one hands-on data platform end-to-end implementation experience as a data engineer in the past (AWS,
  Azure, Google Cloud, Databricks, Snowflake)
  You have experience working with evaluating and/or taking data architecture decisions, influencing strategic
  direction and convincing business and IT stakeholders.
• You have experience in guiding data engineers with best practices in coding styles and coding quality and are familiar with industrial coding quality tools
  such as Sonar Qube as well as AI coding assistants integrated into IDE.
• You have experience across a range of database types, including structured (relational), semi-structured (No
  
  SQL), and graph-based (knowledge graph)
  models.
• Nice to have: you have experience in packaging data platform solutions into Infrastructure as Code using solutions such as Terraform.

Drive and Motivation

• Focused individuals looking to grow their careers on the path of becoming Senior Data Architect within AI & Data consulting.
• Keen interest and ability to stay on top of technology and architectural trends.
• Ability to manage multiple activities in a high-paced environment and context switch without losing focus or big picture.

Leadership, commercial acumen, and communication skills

• Strong client-facing presence and ability to connect with different senior stakeholders, build relationships, and assess, expand and convert opportunities
  into projects.
• Strong abstract…