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Senior Data Architect
FDJ UNITEDSenior Data Architect modernising FDJ UNITED’s cloud data platform for responsible online gambling. Designing scalable lakehouse, AI/ML, governance, and automation solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting enterprise-scale data solutions, including lakehouse concepts and real-time data pipelines, while ensuring compliance with regulatory standards. Proficient in leading AI solution architecture and implementing data governance frameworks to optimize performance and business outcomes.
Highest-signal resume keywords
TOGAF CertificationAWS Cloud SolutionsDevOps MethodologiesData Governance StandardsAI/ML Solution Architecture
ATS Keywords
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Hard Skills
JavaSpringPythonDockerKubernetesSparkIcebergParquetMLOpsLLMOps
Soft Skills
Workshop FacilitationTechnical CommunicationSelf-Driven Approach
Tools & Technologies
Data LakesData WarehousesBig Data PlatformsReal-Time AnalyticsAutomation Tools
Certifications & Qualifications
TOGAF Certification
Industry Keywords
Data GovernanceInformation SecurityRegulatory ComplianceOperational ExcellenceData Quality Controls
Tech Stack
Tools & technologiesAWSAzureCloudDockerJavaKubernetesPythonSparkSpring
About the role
Key responsibilities & impact- Modernise the A&I data platform architecture and drive operational excellence through automation
- Design cloud-based data solutions meeting functional and non-functional requirements
- Define conceptual and logical models for data lakes, warehouses, and hybrid AWS/Azure-Fabric deployments
- Embed DevOps practices, automation, monitoring, security, and regulatory compliance
- Orchestrate large-scale data pipelines using Spark, Docker, Kubernetes, and DevOps tools
- Apply standardised processes and automated testing to accelerate delivery while managing terabytes of data daily
- Set the architectural framework for building, training, and deploying AI/ML models through LLMOps and MLOps
- Oversee model improvement, versioning, monitoring, real-time personalisation, and advanced analytics workflows
- Define schema management, metadata frameworks, and data quality controls with the Data Governance Manager
- Integrate information security standards and compliance requirements into data processes
- Lead whiteboard sessions, technical workshops, and design reviews
- Translate complex architecture concepts into actionable strategies and align with Enterprise Architecture and TOGAF principles
- Track emerging cloud, DevOps, and AI technologies and evaluate innovations such as vector databases and real-time analytics
Requirements
What you’ll need- Proven experience architecting enterprise-scale data solutions, including lakehouse concepts, big data platforms, and real-time pipelines
- TOGAF certification
- Track record of optimising cost, performance, and business outcomes under strict compliance requirements
- Advanced knowledge of Java/Spring, Python, Docker, Kubernetes, AWS, and DevOps methodologies
- Familiarity with Spark, Iceberg, Parquet, and large-scale data processing solutions
- Competence in ML and analytics, with exposure to LLMOps and MLOps practices
- Experience with pipeline automation and model governance
- Ability to lead AI solution architecture rather than day-to-day model development
- Skills in defining and enforcing data governance standards
- Knowledge of regulatory and information security best practices
- Ability to navigate a highly regulated environment
- Workshop facilitation and ability to bridge technical and non-technical perspectives
- Self-driven approach and passion for continuous improvement, developer productivity, and accelerating time-to-market
Benefits
Comp & perks- Hybrid working arrangement
- Inclusive hiring process evaluating candidates based on skills, experience, and potential
- Opportunity to work alongside a passionate team
- Opportunity to contribute to responsible, data-driven entertainment on a global scale