Description:

At Research and Development within Product and Quality, you will be a key contributor to the next generation outstanding luxury cars from Volvo. Together with other engineers around the world, you and your team will create innovative human-centric car technology that makes life less complicated and more enjoyable for people. Are you interested in design and connected car technology? Do you share our passion for people, the environment and our urge to create a superior driving experience? Product and Quality is the place for you to prosper.

The group is part of the software factory for Infotainment. We’re the team that opens the window into the software factory, making its inner workings clear and accessible.

Through monitoring and visualization of CI/CD, environment and product, we turn raw data into stories that teams can act on.

In this role you will be the Data Architect working together with other teams and architects to build and structure the next generation of CI/CD solutions

Key Responsibilities:

• Lead the ConX engineering data product end to end

• Define canonical domain models and metric semantics

• Design scalable, event driven data architecture

• Enable observability and feedback loops across the software lifecycle

• Ensure data quality, reliability, and trust

• Establish data governance, security, and access models

• Enable self service analytics and decision making

Required Qualifications:

• Master’s degree in Computer Science, Engineering, or equivalent practical experience in designing large scale data or software systems.

• 5–10 years of experience across software engineering, DevOps/platform engineering, and data engineering, with hands on exposure to software delivery and production systems.

• 2–5 years of experience in technical leadership or architectural roles, leading design decisions across CI/CD, back-end development, engineering data platforms, or data domains.

• Proven experience designing and evolving data architectures and data structures that enable scalable, self service access to engineering and product data for diverse users.

• Strong expertise in data modeling and pipeline architecture, including event driven ingestion, canonical domain modeling, and transformation layers for analytical use.

• Experience working with CI/CD and observability ecosystems (e.g., Jenkins, GitLab CI, Grafana, Prometheus, ELK), with the ability to abstract tool specific data into consistent, tool agnostic models.

• Excellent analytical and problem solving skills, with demonstrated ability to reason about complex systems, trade offs, and data driven decision making at scale.

• Strong communication and collaboration skills, with experience working across engineering, product, and leadership stakeholders to align on data definitions and architectural decisions.

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Meritorious qualifications:

• Volvo experience

• Knowledge of data security, privacy regulations, and compliance standards.

• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and containerized environments