Data Architect- Specialist- Public Sector

Company Description

Publicis Sapient is a digital transformation partner supporting established organizations in achieving a future, digitally enabled state, both in how they operate and how they deliver value to their customers. We help unlock value through a start-up mindset combined with modern, proven methods. Our approach integrates strategy, consulting, and customer experience with agile engineering and creative problem-solving to deliver measurable business outcomes. Guided by our core values and our purpose, helping people thrive in the brave pursuit of what’s next—our global team of more than 20,000 professionals across 53 offices brings together expertise in technology, data science, consulting, and customer-centricity. By combining these capabilities, we enable our clients to accelerate their businesses through the design and delivery of products and services that their customers truly value.

Overview

We are looking for a hands-on Data Architect – Specialist with broad experience across data disciplines and a strong ability to design pragmatic, scalable data solutions. The role combines data architecture, cloud technologies, modelling, analytics, governance and hands-on technical expertise, with a strong focus on Azure and Microsoft Fabric. You will work across business data domains and collaborate with senior technical and business stakeholders and multidisciplinary delivery teams.

 

Responsibilities

 

• Design and support data architectures covering data tracking, ingestion, modelling and analytics, including AI solutions where relevant (predictive, generative, agentic AI and AI-specific infrastructure).
• Create business and technical documentation for AS-IS and target architectures, including gap analysis, with a preference for meaningful adaptations and lighter, more value-focused alternatives to traditional heavy frameworks such as TOGAF or DAMA-DMBOK.
• Design and support cross-cloud integrations and the migration or integration of on-premises legacy solutions into modern cloud-based data solutions.
• Work across business data domains such as HR, Finance, Marketing, Product and Infrastructure, engaging with senior technical and business stakeholders.
• Document and expand existing solutions and future requirements for data governance, cross-domain data management and data security.
• Coordinate multidisciplinary teams—including Data Engineers, Data Analysts, Business Analysts, Product Owners, QA, domain-specific stakeholders, developers and DevOps—in both designing data solutions and delivering the implementation.

Skills and Experience

 

• Extensive experience across a mix of data-related disciplines, including Data Engineering, Data Analytics, Data Science, Data Architecture and/or Data Product Management.
• Exposure to different types of companies, technologies and markets—local, regional and global—is preferred.
• Hands-on experience with data architecture, data tracking, data ingestion, modelling and analytics.
• Experience with two or more data solutions across AWS, GCP and Azure, with a strong focus on Azure and Microsoft Fabric.
• Hands-on knowledge of different data architecture types, including Medallion, Data Vault 2.0, OBT and others.
• Experience working with and designing solutions based on both SQL and NoSQL data stores.
• Experience working across multiple business data domains and interacting with senior technical and business stakeholders.
• Ability to effectively coordinate multidisciplinary teams in both data-solution design and implementation.
• Hands-on skills with a mix of Python, SQL, DAX, M Query, GTM or similar technologies.

Nice to Have

 

• Experience with AI solutions, including predictive, generative or agentic AI and AI-specific infrastructure.
• Experience with cross-cloud solutions such as Databricks or Snowflake.
• Experience creating common data models from multiple, high-volume, fragmented, divergent and globally distributed data source systems, with a focus on clear business outcomes.
• Experience designing and overseeing a Customer Data Platform (CDP) implementation.
• Experience working with an EU institution, agency or public-sector environment, including familiarity with governance, documentation and audit expectations.

Additional Information

Besides an exciting job, here's what you can expect: 

• A fast-paced tech environment 
• Continuous growth & learning 
• Open feedback culture 
• Room for own initiative & ideas 
• Transparency about results & strategy 
• Recognition & reward for hard work 
• Working with a flexible schedule  
• Medical subscription 
• Meal tickets 
• 25 vacation days 
• Many others perks