Senior Data Platform Lead

Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging

technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across

the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services.

With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted

business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided

by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their

operations and protect what matters most - their people and assets.

Securitas’ vision is to become the Intelligent Protective Services Partner by being client centric, data driven and people

focused. Our protective services help make your world a safer place. IT is a key function in enabling the modern and powerful

technology needed to fulfil Securitas’ business strategy.

The Senior Data Platform Lead is a critical senior technical leadership role responsible for owning and evolving the

organization's core data platform, driving engineering excellence across Databricks, Fabric and the broader technical data

ecosystem. This leader will balance hands-on technical oversight with strategic engagement - acting as the connection between

platform engineering, business demand, and strategically important data programmes.

This role suits a seasoned data engineer or architect who has grown into leadership, retains a strong technical grounding, and can

credibly engage with both engineers and executive stakeholders.

Securitas Group utilizes a federated operating model, and it is essential that the Data Platform supports this framework while

aligning with our strategic objectives.

• Own the technical strategy, architecture, and roadmap for the organization's data platform, with Databricks as the primary

compute and analytics engine.

• Provide a clear Service Description of the Platform options and expected roles and responsibilities in our Federated

Environment.

• Establish and enforce engineering standards, including CI/CD pipelines, infrastructure-as-code, and testing practices all in a

Federated Environment

• Work with the Enterprise Data Governance team to technically realise data governance and data quality frameworks in the

platform.

• Act as the primary technical point of contact for data platform demand, triaging and prioritising requests from business units,

analytics teams, and product owners.

• Partner with business stakeholders to translate requirements into platform solutions, balancing speed-of-delivery with

architectural integrity & platform roadmap.

• Serve as a senior technical contributor and platform authority on enterprise data transformation programs (e.g. cloud migration,

data product adoption, AI/ML enablement).

• Collaborate with data architects, data product owners, and data governance leads to align platform capabilities with strategic

initiatives.

• Lead or oversee the design of data integration patterns, including batch ingestion, event streaming, and API-based data

movement.

• Ensure robust connectivity between Databricks and upstream/downstream systems (ERP, CRM, SaaS platforms, data warehouses, client

portals).

• Directly manage and develop a team of data engineers and platform engineers (4-7 consultants), including performance management,

coaching, and professional growth.

• Technical Depth - can engage deeply on platform architecture, code quality, and engineering trade-offs — not just at a

conceptual level.

• Stakeholder Management - communicates clearly with both technical and non-technical audiences; builds trust across the

organisation by meaningfully engaging with senior technical and business stakeholders.

• Strong understanding of lakehouse architecture, cloud-native data infrastructure (Azure preferred / AWS / GCP), and modern data

stack principles.

• Background in data integration - including pipeline design, event streaming (Kafka, Event Hubs), or ETL/ELT tooling (dbt, ADF,

Fivetran, or similar).

• Experience contributing to large-scale strategic data programs (e.g. cloud migration, data platform modernisation, AI/ML

platform build-out).

This role follows a hybrid working model (with office attendance requirements aligned with local office regulations) and regular

travel.

At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from

all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and

we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of

skills and development opportunities.