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Help clients navigate the future with confidence and embrace decision making with clear data-driven choices. Deloitte AI & Data enables clients to leverage data, analytics, modern platforms, and data science & AI technologies to uncover hidden relationships from vast troves of data, generate insights, and inform their decision-making. We help clients transform their business by designing and implementing data solutions to excel in their markets, using data-driven thinking and technology to achieve outcomes that drive their business forward.

Tasks

  • Lead Enterprise Data Architecture design by helping clients modernize complex system landscapes spanning multiple solutions (e.g., MDM, CRM, ERP, Cloud DWH) that need to be integrated.
  • Work with senior client stakeholders to design enterprise level architecture, pragmatic and enforceable architecture standards, and plan modernization journeys.
  • Lead Cloud Data Platform design and implementation, building scalable, high-performance Cloud data platforms that meet business needs, covering data modelling, data integration, transformation pipelines, DevOps, and use of AI.
  • Make key design decisions and lead onshore, near-/offshore engineering teams developing solutions.
  • Architect integrated solutions, designing and building integrations required to run business processes and deliver data products, including integration between Cloud data platforms and AI/Gen AI platforms or between MDM/CRM systems and Cloud data platforms.
  • Strengthen market positioning and opportunities funnel by leading architecture footprint in the market through events, conferences, and discussions with key clients, internal teams, and alliance partners.
  • Develop internal know-how and expertise by mentoring junior team members within AI & Data and setting strategic focus for expertise building within Switzerland and in relation to near- and offshore teams.

Requirements

  • 8 or more years of relevant professional experience in the role of a Data Architect, leading teams that designed and implemented complex cloud-based ecosystems.
  • Engineering background and multiple hands-on data platform end-to-end implementation experiences as a data engineer (AWS, Azure, Google Cloud, Databricks, Snowflake).
  • Proficient in evaluating and/or taking data architecture decisions, influencing strategic direction, and convincing business and IT stakeholders.
  • Proficient in guiding data engineers with best practices in coding styles and coding quality, familiar with industrial coding quality tools such as SonarQube and AI coding assistants integrated into IDE.
  • Experience across a range of database types, including structured (relational), semi-structured (NoSQL), and graph-based (knowledge graph) models.
  • Nice to have: experience in packaging data platform solutions into Infrastructure as Code using solutions such as Terraform.
  • 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.
  • Strong client-facing presence and ability to connect with different senior stakeholders, build relationships, and assess, expand and convert opportunities into projects.
  • Strong abstract reasoning skills to grasp enterprise level, solution level, and operational concepts and how they link together to form a solution.
  • Strong communications skills both oral and written, and ability to clearly articulate point of view and resonate with technical and business stakeholders.
  • Strong team leadership skills with ability to partner with externals, estimate and plan the work, and coach team members to deliver optimal client outcomes.
  • Strong skills in modelling methods with experience or certifications from DAMA, TOGAF or equivalent: conceptual, logical, and physical data models, dimensional modelling, Data Vault, design of normalized and denormalized schemas for analytical and operational workloads, and understanding of modelling toolkit.
  • Hands-on experience in designing and implementing solutions on major cloud platforms: AWS, Google Cloud Platform (GCP), Azure.
  • Expertise in architecting modern data platforms (Lakehouse, Medallion, Lambda, event-driven) in Snowflake and/or Databricks, or equivalent.
  • Design E2E architectures that balance performance, cost, and maintainability.
  • Estimate implementation effort and lead delivery teams.
  • Create architecture blueprints and solution design documents.
  • Use of GenAI capabilities to optimize delivery and operation.
  • Design integration layer architecture from multiple sources (ERP, CRM, operational databases, APIs, files).
  • Nice to have: Familiarity with ETL/ELT such as Informatica or DBT.
  • Expertise in metadata and event-driven architecture with ability to articulate best practices for capturing metadata within a data pipeline.
  • Ability to leverage metadata to develop event-driven logic within the pipeline for monitoring and alerts.
  • Enterprise Architectures with strong focus on integrating MDM solutions with data platforms and extending data platform with AI Platform components.
  • Ability to review engineering work done in SQL, Python, Spark.
  • Familiarity with relational and NoSQL databases, knowledge graphs, and big data file formats (Parquet, Iceberg).
  • Fluent in English; fluency in German and/or French is highly preferred.

Benefits

  • Flexible and hybrid working conditions.
  • Wellbeing and parental programmes.
  • Opportunities to connect, collaborate and learn.
  • Access to excellent and continuous learning opportunities, including trainings, mentoring programmes, and on-the-job learning.
  • Inclusive and supportive environment where you can be your best self and never stop growing.
  • Meaningful and challenging work.
  • Chance to work with outstanding colleagues, clients, vendors, and technologies.
  • Plenty of market opportunities to develop your career in the direction you want.
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Über uns
Deloitte AG ist die Schweizer Gesellschaft des internationalen Deloitte-Netzwerks und erbringt Dienstleistungen in den Bereichen Wirtschaftsprüfung, Steuer- und Rechtsberatung, Consulting, Financial Advisory, Risk Advisory, Technologie, Transformation und Transaktionsberatung. Das Unternehmen unterstützt Unternehmen, öffentliche Institutionen und Organisationen bei finanziellen, regulatorischen, strategischen, technologischen und organisatorischen Fragestellungen. Deloitte Schweiz ist an mehreren Standorten in der Schweiz vertreten und verbindet lokale Beratung mit der fachlichen und internationalen Expertise des globalen Deloitte-Netzwerks.
Das Team

Become part of a diverse and multinational team of 60+ highly motivated individuals located in Zurich, Geneva, or Basel offices, specialising in AI & data. Work alongside highly talented colleagues on varied and exciting projects.

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