5 months ago
Paris, FranceSenior
Responsibilities
- Design modern data-platform architectures aligned with business, technical, and economic requirements.
- Define end-to-end data patterns for ingestion, transformation, and exposure, including medallion layers, environments, governance, and security standards.
- Ensure platform scalability, performance, resilience, and cost control.
- Advise enterprise clients on data-platform and data-cloud strategy, target architectures, migration, and modernization roadmaps.
- Challenge requirements and recommend appropriate market solutions to technical and executive decision-makers.
- Define DataOps standards covering data CI/CD, automated testing, monitoring, observability, deployment, release, rollback, and environments.
- Structure operational practices including incident management, runbooks, and SLA/SLO processes.
- Coordinate architectural consistency across Cloud, Engineering, Analytics, and Security teams.
- Lead architecture, scoping, prioritization, and pre-sales workshops and contribute to offer development.
- Contribute to technology monitoring, knowledge capitalization, and development of the team’s offerings.
Requirements
- Significant experience in cloud data-platform architecture.
- Strong command of modern architectures including lakehouse, cloud data warehouse, and medallion architecture.
- Very good understanding of end-to-end data flows.
- Expertise in Data Vault and dimensional modeling.
- Ability to define target architectures and standardized patterns.
- Expertise in data governance, security, performance, FinOps, CI/CD data strategies, automated data-quality/schema/regression testing, and monitoring and observability.
- Ability to define deployment processes and govern data-industrialization practices.
- Experience or knowledge of Infrastructure as Code with Terraform.
- Knowledge of secret management, IAM, advanced security, and multi-cloud or hybrid architecture.
- Strong consulting, communication, facilitation, prioritization, arbitration, and stakeholder-influencing skills, including enterprise client advisory and pre-sales.
Tech Stack
Categories
Data Engineering
About Talan
Talan is a Paris‑headquartered, privately held consulting and technology group that delivers data, AI, and IT services to large enterprises. It combines management consulting with systems integration, software engineering, and production support across sectors such as banking and financial services, energy, transport, retail, and healthcare. The firm operates internationally and supports clients’ end‑to‑end change programs, from CRM and agile transformations to architecture, application development, and run.