Senior Data Architect

Description

Do you dream big? We do too, and we are excited to grow together. In this role, you will bring:

What’s in it for you?

• Collaborative environment in Swedish organizational culture

• Work-life balance: we make sure you enjoy quality time away from work

• Equipment and tools needed in everyday work

• Clear career path & extended competence development package (training, mentorship, conferences, internal upskilling programs, certificates)

• Private healthcare

• Volvo League: We run team games in various sports

• Participation in international projects and different pieces of training

What Will Help You Succeed

• Strong communication and stakeholder management skills.

• Ability to connect business strategy, data, analytics and AI into a coherent architectural vision.

• Comfortable working in a fast-changing environment and shaping new ways of working.

• Ability to influence decisions and drive alignment without direct authority.

• Curious, open-minded and willing to explore unfamiliar domains and technologies.

• Collaborative mindset with the ability to bring together business stakeholders, architects, engineers and Data Product teams around common goals.

Key Responsibilities

• Provide strategic architectural leadership for the Data and AI landscape, taking an end-to-end view across business, data, technology, analytics and AI solutions.

• Define and drive the target architecture and long-term technology direction for the Data and AI, ensuring scalability, integration, reuse and sustainable growth.

• Shape effective use of our modern data platform based on Azure and Databricks, enabling trusted, governed and reusable data to support Data Products, analytics and AI solutions.

• Establish architectural principles and ensure alignment with Volvo Group Data Model, Volvo Enterprise Reference Architecture, enterprise standards and security requirements, while translating them into pragmatic solutions for the Volvo environment.

• Identify and manage cross-domain dependencies, architectural risks and opportunities, ensuring consistency and coherence across Data and AI ecosystems.

• Act as a trusted strategic advisor to senior business and technology stakeholders, influencing decisions and challenging existing approaches where needed.

• Translate complex business needs into clear, scalable and implementable architectural strategies, balancing innovation with governance, security, cost and technical feasibility.

• Lead and orchestrate collaboration between business stakeholders, Data Product teams, architects, engineers and external partners, creating alignment across multiple initiatives.

• Drive architectural maturity and continuous improvement by establishing common standards, reusable patterns, and ways of working that enable the organization to scale its Data and AI capabilities.

Technical Skills & Experience

• Proven experience as Data Architect or similar senior architecture role.

• Strong experience with modern cloud-based data platforms, preferably Azure and Databricks.

• Deep understanding of Data Products, data governance, data modeling, integration patterns and analytics architectures.

• Experience designing scalable data solutions supporting analytics, reporting and AI use cases.

• Strong knowledge of Azure services such as Azure Databricks, Azure Data Factory, Azure Storage, Event Hubs, Azure Functions and related services.

• Proficiency in SQL and a good understanding of Python and Spark.

• Familiarity with modern Data & AI architecture patterns, including batch and streaming data processing.

• Understanding security and identity concepts, including Entra ID, Managed Identities, Service Principals, OAuth 2.0, Key Vault and Single Sign-On.

• Experience working in complex enterprise environments with multiple stakeholders and delivery teams.