Enterprise Data Platform Lead

**Enterprise Data Platform Lead Consultant**

EU time zone

Job Responsibilities:

- Lead for Enterprise Data Platform reporting capabilities for cross-domain reporting and analytical needs.
- Architect and deliver cloud-based analytical solutions leveraging AWS, Python, and Snowflake.
- Design and implement end-to-end data integration, storage, and curation pipelines for high-performance analytical use cases.
- Function as the technical leader in implementing EDP solutions that support data-intensive initiatives within the client's program, especially where reporting must occur outside of DataSphere due to data gravity considerations.
- Collaborate with data engineers, analysts, and business units to capture requirements and translate them into effective data models and pipelines.
- Ensure scalability, governance, and security are core to the EDP solution design.
- Support and guide project teams, enforcing data platform architecture best practices and performance optimization strategies.

**Requirements**:

- 5+ years in designing Enterprise Data Platforms, with expertise in AWS (certifications preferred), Python (Pandas, PySpark), and Snowflake.
- Proficiency in data integration tools (e.g., Apache Airflow, dbt, Fivetran) and SQL/NoSQL databases.
- Hands-on experience with data lakehouses, real-time analytics, and cloud security frameworks.
- Experience leading large-scale migrations (e.g., legacy to cloud) and multi-domain data curation.

**Preferred Qualifications**:

- AWS Certified Solutions Architect, Snowflake SnowPro Core/Advanced, or Python certifications.
- Familiarity with Databricks, Tableau, or Power BI is a plus.
- Fluent in English; ability to collaborate with global teams across EU time zones.

Strong problem-solving skills and stakeholder management for technical and non-technical audiences.

**Job Type**: Contract
Status: Cadre
Contract length: 12 months

Pay: 55.00€ - 65.00€ per hour

Expected hours: 9 per week

Expected Start Date: 27/05/2025