Senior Data Platform Lead
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Software Engineering · Data Science
In short
Securitas is seeking a Senior Data Platform Lead to own and evolve their core data platform, focusing on Databricks and Fabric. This senior technical leadership role requires a blend of hands-on expertise and strategic engagement to bridge platform engineering, business demand, and data programs. The ideal candidate has 10+ years of experience leading data teams in complex enterprises and a strong understanding of cloud-native data infrastructure.
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.
#data platform#data engineering#databricks#fabric#azure#aws#gcp#ci/cd#data governance#data products#ai/ml#etl#elt#streaming#api#cloud migration#leadership#team management
Company
Securitas Group
Job Posted
2 weeks ago
Employment Type
Full Time
WorkMode
Hybrid
Experience Level
Senior
Locations
European countries
Applicants
Be an early applicant