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Paris, 75, FR
**ABOUT CFM**:
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.
CFM is seeking a dynamic and experienced **Head of Data Platform** to lead the development, management, and optimization of our hybrid data platform, encompassing shared services and components (e.g. Data Catalog), CFM’s cloud-based data lake and on-premises infrastructure.
**Key Responsibilities**
- Oversee the development and maintenance of a secure, scalable, and high-performance data platform and infrastructure that supports advanced data use cases and analytics.
- Work closely with Data Engineering, Data Science and Quant teams to understand their needs and ensure seamless integration of data pipelines and processes into the platform, from development to production.
- Supervise the evolutions of shared components and services used by Data and Quant teams.
- Foster a product-centric approach, using feedback loops to continuously improve the expected features, usability, and performance, ensuring the platform is a value-add to internal users.
- Optimize developer workflows and processes through automation and reusable templates, reducing the time to production.
- Manage a cross-functional team of DevOps, Site Reliability and Software engineers working on the data platform.
- Propose, implement and monitor Key Performance Indicators, in relation to UX and Business added value.
- Collaborate efficiently with Core Technology and Security teams to smoothly integrate into CFM technological ecosystem, stack and standards.
- Ensure globally the efficiency and relevance of the data platform to CFM business needs, define and pilot the related roadmap.
**Qualifications / Required skills**
- Bachelor's or master's degree in computer science, Data Engineering, or related field.
- Minimum of 10 years of experience in data engineering or data architecture, with at least 5 years in a leadership role.
- Proven track record of managing hybrid data environments in challenging contexts, driving the adoption of cloud technologies and designing platforms with a developer-first, self-service mindset.
- Expertise in data architecture, including data lakes, ETL/ELT pipelines, distributed computing (e.g., Spark), and database technologies (SQL, NoSQL).
- Strong knowledge of cloud technologies (AWS S3, Athena, EMR, Google BigQuery, Azure Data Lake,...) and containerization (Docker, Kubernetes).
- Proficient in programming languages, including Python, and software craftmanship (code quality, test-driven development, continuous integration, change and release management,...).
- Proven achievements with Platform Engineering tools and methodologies, including CI/CD pipelines, Infrastructure-as-Code (Terraform, CloudFormation), and self-service capabilities.
- Excellent leadership, team management and project management skills, applicable to cross-functional contexts.
- Ability to solve complex problems and make strategic decisions.
- Excellent communication skills, with the faculty to translate technical concepts into business outcomes for non-technical stakeholders.
- Capacity to work in a fast-paced, high-stakes environment, with a commitment to professional development and continuous learning.
- Knowledge of financial markets, governance and regulatory requirements and/or quantitative research is a plus.
**EQUAL OPPORTUNITIES STATEMENT**:
We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.
