Data Products & AI Architect - Enterprise Applications, FinTech
Booking.com1 day ago
Amsterdam, NetherlandsStaff+
Responsibilities
- Partner with Product, Engineering, Finance, Data Governance, Legal, Security, and Compliance to translate priorities and policies into scalable architecture.
- Connect AI products to certified Finance data using clear definitions, data contracts, quality standards, lineage, and access controls.
- Design Finance intelligence with governed calculations, traceable answers, and Finance-validated evaluations.
- Design and deploy secure AI workflows with SAP and third-party integrations, appropriate permissions, human approvals, and safe failure handling.
- Make build, buy, and reuse decisions and develop reusable enterprise architecture patterns across teams and brands.
- Validate architecture through prototypes, reference implementations, code reviews, process automation, and hands-on production delivery support.
- Embed evaluation, monitoring, audit evidence, SOX compliance, and segregation-of-duties controls throughout the AI lifecycle.
- Measure quality, reliability, performance, cost, and reuse to guide continuous improvement.
Requirements
- 10+ years of experience in data engineering or data architecture, including at least 3–5 years in a lead or architect role owning platform design for large organizations.
- Production delivery experience with an enterprise data or AI platform using technologies such as Snowflake, Databricks, BigQuery, Spark, Kafka, or Airflow.
- Experience building production AI applications or agents using LLM APIs such as OpenAI, Anthropic, AWS Bedrock, or Vertex AI and frameworks such as LangChain, LangGraph, or MCP.
- Hands-on experience with semantic modeling, data contracts, data quality, lineage, and access controls using tools such as dbt, LookML, Cube, Great Expectations, Soda, Monte Carlo, OpenLineage, DataHub, Collibra, or Unity Catalog.
- Experience designing systems processing billions of events or terabytes of data per day.
- Practical experience with enterprise security, privacy, governance, and audit requirements including GDPR, SOX, PCI DSS, ISO 27001, or the EU AI Act.
- Ability to turn ambiguous requirements into technical plans, explain trade-offs to nontechnical stakeholders, and align teams through artifacts such as ADRs or design reviews.
- FinTech, payments, or regulated-industry experience is preferred.
- Infrastructure-as-code experience with Terraform on AWS, GCP, or Azure is preferred.
- AWS/GCP Professional Architect or Databricks/Snowflake architect certifications are preferred.
Benefits
- Annual paid time off and generous paid leave, including parent, grandparent, bereavement, and care leave.
- Hybrid working with flexible arrangements and up to 20 days per year working from abroad in the home country.
- Industry-leading product discounts of up to 1400 per year, Genius Level 3 status, and Booking.com wallet credit.
- Opportunity to work on a high-scale product used by millions of travelers and contribute impactful engineering solutions.
- Technical, behavioral, and interpersonal development through on-the-job opportunities, experimental projects, hackathons, conferences, and community participation.
- Part-time and reduced working-week opportunities may be available, with a minimum of 32 hours per week subject to terms and conditions.
- The role does not come with relocation assistance.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSAzureDatabricksdbtGoogle BigQueryGoogle Cloud PlatformSnowflakeTerraform
Categories
AI ApplicationsData Engineering
About Booking.com
Booking.com operates a global online travel platform for booking accommodations, flights, car rentals, and experiences for consumers and business travelers. It earns primarily through commissions and merchant/agency models with hotels, vacation rentals, and other travel partners. Founded in 1996 and headquartered in Amsterdam, it is part of Booking Holdings and serves users and suppliers across hundreds of markets worldwide.