Senior Data Platform Lead

About the role

Securitas IT is looking for a Senior Data Platform Lead in Stockholm, a senior technical leadership role that owns and evolves the group's core data platform. The leader drives engineering excellence across Databricks, Fabric and the wider technical data ecosystem, balancing hands-on technical oversight with strategic engagement between platform engineering, business demand and important data programmes. The role suits a seasoned data engineer or architect who keeps a strong technical grounding and can engage with both engineers and executives.

Key responsibilities

• Own the technical strategy, architecture and roadmap of the data platform, with Databricks as the primary compute and analytics engine, and define service descriptions and roles in the federated environment.
• Lead platform reliability, performance and scalability, set engineering standards (CI/CD, infrastructure-as-code, testing) and oversee cluster configuration, cost and resource optimisation.
• Drive adoption of best practices across Delta Lake, Unity Catalog and MLflow, and act as the main technical point of contact for platform demand.
• Work with the Enterprise Data Governance team to realise data governance and quality frameworks, and support enterprise data transformation programmes such as cloud migration and AI/ML enablement.
• Lead data integration patterns (batch, event streaming, APIs) and connectivity to ERP, CRM, SaaS platforms and data warehouses, evaluating tools such as ADF, dbt, Fivetran and Kafka.
• Manage a team of 4-7 data and platform engineers, coach them and manage third-party vendor relationships.

Required profile

• Around 10+ years of experience leading data platform and data engineering teams in a complex enterprise environment.
• Previous experience leading a team and a track record of managing demand across business and technology stakeholders.
• Fluency in English; reference to the company's Leadership Framework is checked during recruitment.

Required skills

• Databricks, including Spark, Delta Lake, Databricks SQL, Workflows and Unity Catalog.
• Lakehouse architecture and cloud-native data infrastructure (Azure preferred, also AWS or GCP).
• Data governance, cataloguing and metadata management.
• Highly desirable: data integration, event streaming (Kafka, Event Hubs), ETL/ELT tools (dbt, ADF, Fivetran), and exposure to data mesh, data products or MLflow.

The position is open to candidates based in European countries where Securitas has an established entity, on a hybrid basis with office attendance and regular travel.