Senior Data Platform Lead
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Software Engineering · Data Science
In short
Responsibilities
- Own the technical strategy, architecture, and roadmap for the organization's data platform, with Databricks as the primary compute and analytics engine.
- Lead platform reliability, performance, and scalability, ensuring SLAs are met and operational risk is minimized.
- Establish and enforce engineering standards, including CI/CD pipelines, infrastructure-as-code, and testing practices.
- Create a Business/Consumer-oriented Data Products shopping experience.
- Act as the primary technical point of contact for data platform demand, triaging and prioritizing requests.
- Serve as a senior technical contributor and platform authority on enterprise data transformation programs.
- Lead or oversee the design of data integration patterns, including batch ingestion, event streaming, and API-based data movement.
- Directly manage and develop a team of data engineers and platform engineers (4-7 consultants).
Requirements
- Around 10+ years of experience leading data platform and/or data engineering teams in a complex enterprise environment.
- Deep hands-on expertise with Databricks, including Spark, Delta Lake, Databricks SQL, Workflows, and Unity Catalog.
- Strong understanding of lakehouse architecture, cloud-native data infrastructure (Azure preferred / AWS / GCP), and modern data stack principles.
- Experience owning a technical platform end-to-end — including reliability, security, cost, and roadmap.
- Track record of working across business and technology stakeholders to manage demand and deliver outcomes.
- Previous experience with leading a team.
- Familiarity with data governance, data cataloguing, and metadata management practices.
- Fluency in English.
Desired Qualifications
- 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).
- Exposure to data mesh, data product thinking, or domain-oriented data ownership models.
- Familiarity with MLflow, Feature Store, or Databricks Model Serving for ML workloads.
- Demonstrates executive presence and the ability to influence without authority.
- Brings clarity and calm to ambiguous, fast-moving environments.
- Is a natural collaborator who builds strong relationships across engineering, architecture, and business functions.
- Has a growth mindset - curious, adaptive, and committed to both personal and team development.
- Reference to our Leadership Framework (checked during recruitment process).
Benefits
- Competitive salary and benefits package.
- Opportunity to shape the future of Securitas' data platform.
- Work in an international, explorative, hands-on, and dynamic business environment.
- Commitment to diverse representation, equal pay, safe working conditions, gender balance, and an inclusive work environment.
- Wide range of skills and development opportunities.
Skills
Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. Almost nine decades of deep experience means we see what others miss. By leveraging technology in partnership with our clients, combined with an innovative, holistic approach, we’re transforming the security industry. With 350 000 employees in 47 markets, we see a different world and create sustainable value for our clients by protecting what matters most - their people and assets.
Company
Securitas GroupJob Posted
3 weeks ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Senior
Locations
European countries
Applicants
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