Stellenbeschreibungppb Job description /b /p /p bWe proudly offer /bliA safe workplace with zero tolerance for harassment. /liliOpen environments where people are free to be themselves. /liliAn inclusive community that believes in respect and merit. /libLocation /b: Zurich, Basel, Geneva bWork Pattern Percentage /b: 80-100% bYou bring ambition, we provide opportunities /bbHelp our clients navigate the future with confidence and embrace decision making with clear data-driven choices /bDeloitte AI Data helps clients unlock the power of AI and data to deliver better human-centric solutions that catalyse growth and efficiencies. We enable them 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. Our role is to understand their business problems and use data-driven thinking and technology to achieve outcomes that drive their business forward. bHow you can make an impact /bAs 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: liLead 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. /liliLead 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, DevOps, 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. /liliArchitect 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. /liliStrengthen 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. /liliDevelop 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. /libWhat We Are Looking For: /bliExperience: br/br/ /liliYou have 8 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 /liliYou have engineering background and multiple hands-on data platform end-to-end implementation experiences as a data engineer in the past (AWS, Azure, Google Cloud, Databricks, Snowflake) /liliYou are proficient in evaluating and/or taking data architecture decisions, influencing strategic direction and convincing business and IT stakeholders /liliYou are proficient in guiding data engineers with best practices in coding styles and coding quality and are familiar with industrial coding quality tools such as SonarQube as well as AI coding assistants integrated into IDE /liliYou have experience across a range of database types, including structured (relational), semi-structured (NoSQL), and graph-based (knowledge graph) models. /liliNice to have: you have experience in packaging data platform solutions into Infrastructure as Code using solutions such as Terraform br/br/ /liliDrive and Motivation: br/br/ /liliFocused individuals looking to grow their careers on the path of becoming Senior Data Architect within AI Data consulting /liliKeen interest and ability to stay on top of technology and architectural trends /liliAbility to manage multiple activities in a high-paced environment and context switch without losing focus or big picture br/br/ /liliLeadership, commercial acumen, and communication skills: br/br/ /liliStrong client-facing presence and ability to connect with different senior stakeholders, build relationships, and assess, expand and convert opportunities into projects /liliStrong abstract reasoning skills to grasp enterprise level, solution level, and operational concepts and how they link together to form a solution /liliStrong communications skills both oral and written and ability to clearly articulate point of view and resonate with technical and business stakeholders /liliStrong team leadership skills with ability to partner with externals, estimate and plan the work, and coach team members to deliver optimal client outcomes br/br/ /liliTechnical Expertise: br/br/ /liliStrong skills in modelling methods with experience or certifications from DAMA, TOGAF or equivalent: /liliConceptual, logical, and physical data models /liliDimensional modelling /liliData Vault /liliDesign of normalized and denormalized schemas for analytical and operational workloads and understanding of modelling toolkit /liliHands-on experience in designing and implementing solutions on major cloud platforms: /liliAmazone Web Services (AWS) /liliGoogle Cloud Platform (GCP) /liliAzure /liliExpertise in architecting modern data platforms (Lakehouse, Medallion, Lambda, event-driven) in Snowflake and/or Databricks, or equivalent /liliDesign E2E architectures that balance performance, cost, and maintainability /liliEstimate implementation effort and lead delivery teams /liliCreate architecture blueprints and solution design documents /liliUse of GenAI capabilities to optimize delivery and operation /liliData Integration ETL /liliDesign integration layer architecture from multiple sources (ERP, CRM, operational databases, APIs, files) /liliNice to have: Familiarity with ETL/ELT such as Informatica or DBT /liliMetadata and event-driven architecture: /liliExpertise in metadata and event-driven architecture with the ability to articulate best practices for capturing metadata within a data pipeline /liliAbility to leverage metadata to develop event-driven logic within the pipeline for monitoring and alerts /liliEnterprise Architectures with strong focus of integrating MDM solutions with data platforms and extending data platform with AI Platform components /liliProgramming frameworks and data formats: /liliAbility to review engineering work done in SQL, Python, Spark /liliFamiliarity with relational and NoSQL databases, knowledge graphs, and big data file formats (Parquet, Iceberg) /liliLanguage Proficiency: /liliFluent in English; fluency in German and/or French is highly preferred /libYour team /bBecome part of a diverse and multinational team of 60+ highly motivated individuals located in our Zurich, Geneva, or Basel offices. We specialise in AI data – how to structure it, how to source it, how to transform it, how to store it, and how to consume it. Join our fast-paced and fun team, working alongside highly talented colleagues on varied and exciting projects, with access to excellent and continuous learning opportunities. Deloitte AI Data is the leading data analytics consulting team in Switzerland. You will have a chance to work with outstanding colleagues and have access to variety of clients, vendors, and technologies. Our business is growing fast and there are plenty market opportunities to develop career in the direction that you want. We will help you grow both personally and professionally: through our trainings, mentoring programmes, and on-the-job learning, but also by working with clients and vendors across different industries.
