Description

You will design, build, and manage cloud and on-premise data lake infrastructures to support self-service analytics and automated data flows.

Responsibilities

• Design and develop data ingestion pipelines to integrate data from APIs, on-premise, cloud, and legacy systems.
• Operate and maintain data lake infrastructure to ensure reliability, scalability, and security.
• Create wireframes, proofs of concept, and architecture designs for ETL processes.
• Optimize data processing workflows and monitor performance metrics for retrieval efficiency.
• Enforce data policy adherence, row-level security, and data privacy within all models and pipelines.
• Document infrastructure, workflows, and processes while testing newly deployed pipelines.

Required Skills

• 7+ years of professional experience in data architecture or related roles.
• 3+ years of experience with Azure and AWS data warehousing.
• Hands-on experience with Databricks analytical platforms.
• Proven ability to manage data ingestion from APIs, On-Prem, Cloud, and Legacy Systems.
• Experience designing secure, monitored, and reliable "source of truth" environments.
• Ability to translate business challenges into technical user stories and divisional personas.
• Strong capability to manage multiple concurrent tasks with minimal supervision.
• Excellent oral and written communication skills for stakeholder engagement.

Key Skills

Education

Any Gradute