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Accenture

Advises businesses and runs their technology

Data & AI Architecting Manager

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of relevant professional experience in data engineering, AI, or analytics roles, including at least 2 years in leadership roles.
  • Ability to design, scope, and deliver complex data and AI projects, including proofs of concept and proofs of value.
  • Experience managing multidisciplinary Data & AI teams, programs, or product-oriented deliveries.
  • Deep understanding of modern cloud and AI platforms, including Azure, Google Cloud Platform, Amazon Web Services, Oracle Cloud Infrastructure, Databricks, Microsoft Fabric, and Snowflake.
  • Strong knowledge of on-premises data environments, including at least two of Oracle, Microsoft SQL Server, Teradata, and DB2.
  • Knowledge of modern data architecture, including medallion architecture, OneLake, data warehouse concepts, data lineage, orchestration, containerization, and event-driven processing.
  • Experience designing and developing ETL/ELT pipelines.
  • Strong background in relational, dimensional, or Data Vault data modelling.
  • Proficiency in SQL and procedural languages such as T-SQL and PL/SQL or equivalent.
  • Strong coding experience in Python and PySpark, with clear, structured coding practices.
  • Familiarity with DevOps, CI/CD, and version control systems such as Git and Bitbucket.
  • Good understanding of large language model concepts and ability to apply AI techniques in Data & AI solutions.
  • Practical experience in at least one of banking, insurance, retail, consumer goods and services, or telecommunications and media.
  • Professional working proficiency in English.
  • Willingness to travel to client locations across Europe as required.

Responsibilities

  • Lead the design, planning, and execution of on-premises-to-cloud data migrations, post-merger data integrations, and on-premises data solutions, with a focus on scalability, resilience, and regulatory compliance.
  • Work hands-on with Python, SQL, and Spark using modern Data & AI platforms to automate and optimize complex data workflows.
  • Integrate diverse data sources into unified, high-quality datasets supporting advanced analytics and AI solutions.
  • Collaborate with data architects, analysts, and data scientists to deliver business-ready insights and value.

Desired Qualifications

  • Experience in cloud migration projects or hybrid cloud architectures.
  • Experience designing and developing ETL/ELT pipelines using Azure Fabric, Databricks, Synapse, or dbt; SAS, ODI, Informatica, DataStage, or equivalent experience is also valued.
  • Experience building applications powered by large language models.
  • Another European language, preferably German.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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