Description

You will design and implement end-to-end data architectures and lead on-premise to cloud migrations.

Responsibilities

• Design end-to-end solutions for Data Warehousing, ETL, Data Lakes, and Lakehouse architectures.
• Lead client proposal (RFP) responses and defend technical solutions to stakeholders.
• Implement architectural patterns including Data Mesh, Data Fabric, and Data Governance.
• Manage technical workflows using DevOps and Agile methodologies.
• Present and influence technical decisions with both architects and business stakeholders.

Required Skills

• 12+ years of experience in Data Analytics across on-premise and cloud implementations.
• Hands-on experience with Azure, AWS, Google Cloud, or Snowflake.
• Proven expertise in designing Data Warehouse, ETL, Data Lake, and Lakehouse systems.
• Experience executing on-premise to cloud migrations.
• Proficiency with Git, Bitbucket, Jenkins, Maven, and Gradle.
• Strong experience working within Agile and DevOps workflows.
• Demonstrated ability in handling RFP responses and technical defense.

Preferred Skills

• Architect or Data Engineer certifications in AWS, Azure, or GCP.
• Experience within the Telecom or Media domains.

Key Skills

Education

Any Gradute