Senior Data Architect

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

The customer is one of the largest online gambling companies in the world, with over 26 million clients across all markets. The company was founded in 1997 and listed on Nasdaq Stockholm in 2004. They are committed to offering their clients the best possible deal and user experience, while ensuring a safe and fair gambling environment.

• Shape End-to-End Data Architectures:
  Define conceptual and logical models for data lakes, warehouses, and hybrid deployments (AWS, Azure/Fabric), aligning with key performance and cost objectives
• Embed Automation & Monitoring:
  Reduce complexity and maximise uptime through Dev Ops practices, ensuring compliance with FDJ United’s security and regulatory standards
• Implement Scalable Frameworks:
  Orchestrate large-scale pipelines using Spark, Docker, Kubernetes, and other Dev Ops tools
• Accelerate Delivery:
  Apply standardised processes and automated testing to streamline development and reduce time-to-market while managing terabytes of data daily

• Champion LLMOps & MLOps Strategy:
  Set the architectural framework for building, training, and deploying AI/ML models with automation and regulatory compliance in mind
• Enhance Operational Efficiency:
  Oversee end-to-end workflows (model improvement, versioning, monitoring) to support real‑time personalisation and advanced analytics, focusing on architectural integrity rather than hands‑on coding

• Establish Strong Data Governance:
  Partner with the Data Governance Manager to define schema management, metadata frameworks (e.g., Open Metadata), and data quality controls, promoting data democratisation and self‑service
• Adhere to Security & Compliance:
  Integrate information security standards and FDJ United’s compliance framework into every data process, safeguarding internal and customer data across all stages
• Lead Technical Workshops:
  Host whiteboard sessions and design reviews, driving shared expertise and open dialogue
• Influence Stakeholders:
  Translate complex architectural concepts into actionable strategies, aligning with the PAM Enterprise Architect team and TOGAF principles
• Stay Ahead of Trends:
  Track emerging data technologies in cloud, Dev Ops, and AI to maintain a cutting‑edge platform
• Evaluate & Implement New Solutions:
  Prototype and integrate innovations—such as vector databases or advanced real‑time analytics—that bring tangible business impact

• Proven experience architecting data solutions at enterprise scale (lakehouse concepts, big data platforms, real‑time pipelines)
• TOGAF Certified
• Successful track record of optimising cost, performance, and business outcomes under strict compliance requirements
• Technical Mastery & Hands‑On Skills
• Advanced knowledge of Java/Spring, Python, Docker, Kubernetes, AWS and Dev Ops methodologies
• Familiarity with Spark, Iceberg, Parquet, and other solutions for large‑scale data processing
• AI/ML & Analytics Background
• Competent in ML & analytics, with exposure to LLMOps and MLOps practices (pipeline automation, model governance)
• Comfortable leading the architecture of AI solutions rather than day‑to‑day model development
• Governance, Security & Compliance Mindset
• Skilled in defining and enforcing data governance standards while upholding regulatory and information security rigorousness
• Ability to navigate a tough regulatory landscape, ensuring compliance without compromising innovation
• Excellent Communication & Collaboration
• Adept at workshop facilitation and bridging technical and non‑technical perspectives
• Self‑driven, with a passion for continuous improvement, developer productivity, and accelerating time‑to‑market

• Experience with distributed compute frameworks such as Dask, Spark, or…