Job Description

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: Fixed term contract

Pay: 114,022.00-122,237.00 per year

Benefits:

Work from home
Schedule:

Monday to Friday
Work Location: Remote

Reference ID: JP-110