Senior Data Architect
Il y a 2 jours
Fresnes, Ile-de-France
QuickSort
Temps plein
60 000 € - 75 000 €/an
Gratuit avec email ou Google
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Who we areAt Quicksort, we help organizations deploy reliable, custom, high-impact AI solutions quickly. We design internal AI agents that are secure and adapted to demanding industries, including finance, legal, and compliance.
Our team consists of AI and machine learning experts who combine a rigorous scientific approach with lean methodology to design custom, reliable solutions that are directly operational in production.
The roleYou design the data architectures that underpin our AI agents and analytics platforms for banking clients, in fully on-premise environments. You are the data technical lead on our engagements: you scope, you decide, and you stay close to delivery.
Your responsibilities
• Define the target on-premise data architecture (data lakehouse, data mesh, data fabric) in line with the client’s regulatory and security constraints
• Design data models, ingestion flows, and batch and real-time pipelines (CDC, streaming)
• Size and architect the data infrastructure: storage, compute, networking, capacity, high availability, disaster recovery
• Architect the data layers required for in-house AI and GenAI use cases: RAG, vector databases, feature stores, unstructured data, LLM serving on on-premise GPUs
• Set up governance: data catalog, lineage, quality, reference data management, compliance (GDPR, BCBS 239, DORA)
• Write architecture documents and present them to the client’s architecture and security committees
• Support data engineering teams and lead architecture reviews
• Contribute to pre-sales: scoping, estimation, client presentations
Your profile
• 8+ years of experience in data architecture, including significant experience in banking, capital markets, or insurance
• Hands-on experience with large-scale on-premise data architectures
• Strong knowledge of banking environments: risk, credit, compliance, regulatory reporting
• Mastery of the on-premise ecosystem: Hadoop/Cloudera, Spark, Kafka, Trino or Presto, open table formats (Iceberg, Delta, Hudi), object storage (MinIO, Ceph), Airflow, dbt.
• Good knowledge of relational and MPP databases (Oracle, PostgreSQL, Teradata, or equivalent) and Kubernetes/OpenShift
• Solid grounding in data modeling (relational, dimensional, Data Vault) and data governance
• Genuine interest in generative AI and agentic architectures in sovereign environments
• Able to engage with both IT leadership and business teams, and to explain complex topics simply
• Fluent in French and English
What we offer
• High-stakes engagements in secure, regulated environments
• A team of AI and ML experts, without unnecessary layers of hierarchy
• Real autonomy and visible impact on projects
•
Salary:
60-75K Our core values Bias for action Excellence Leave your ego aside.
• Define the target on-premise data architecture (data lakehouse, data mesh, data fabric) in line with the client’s regulatory and security constraints
• Design data models, ingestion flows, and batch and real-time pipelines (CDC, streaming)
• Size and architect the data infrastructure: storage, compute, networking, capacity, high availability, disaster recovery
• Architect the data layers required for in-house AI and GenAI use cases: RAG, vector databases, feature stores, unstructured data, LLM serving on on-premise GPUs
• Set up governance: data catalog, lineage, quality, reference data management, compliance (GDPR, BCBS 239, DORA)
• Write architecture documents and present them to the client’s architecture and security committees
• Support data engineering teams and lead architecture reviews
• Contribute to pre-sales: scoping, estimation, client presentations
Your profile
• 8+ years of experience in data architecture, including significant experience in banking, capital markets, or insurance
• Hands-on experience with large-scale on-premise data architectures
• Strong knowledge of banking environments: risk, credit, compliance, regulatory reporting
• Mastery of the on-premise ecosystem: Hadoop/Cloudera, Spark, Kafka, Trino or Presto, open table formats (Iceberg, Delta, Hudi), object storage (MinIO, Ceph), Airflow, dbt.
• Good knowledge of relational and MPP databases (Oracle, PostgreSQL, Teradata, or equivalent) and Kubernetes/OpenShift
• Solid grounding in data modeling (relational, dimensional, Data Vault) and data governance
• Genuine interest in generative AI and agentic architectures in sovereign environments
• Able to engage with both IT leadership and business teams, and to explain complex topics simply
• Fluent in French and English
What we offer
• High-stakes engagements in secure, regulated environments
• A team of AI and ML experts, without unnecessary layers of hierarchy
• Real autonomy and visible impact on projects
•
Salary:
60-75K Our core values Bias for action Excellence Leave your ego aside.