Job Description

• Lead and/or assist in designing and developing cloud-based data systems, tailoring solutions to meet business requirements.
• Develop comprehensive architecture solution roadmaps seamlessly integrating business processes and technologies.
• Design, develop and enforce standards for data storage, processing, and governance across all environments.
• Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns.
• Develop, document, and maintain overall view of data platform architecture, data acquisition, data quality, and data retention.
• Provide guidance in administration of ETL jobs including developing best practices.
• Provide formal and informal training for data engineers, platform engineers and ETL developers.
• Maintain knowledge of emerging technologies and architectures.
• Experience in designing the logical and physical data models for the Data Warehouse as per business requirements.
• In-depth knowledge of Azure/AWS/GCP Cloud capabilities and services and how those relate to the development activities.
• Familiarity with cryptographic algorithms and security protocols.
• Skilled in designing and building distributed systems for processing large data volumes.
• Excellent communication, presentation, and interpersonal skills are essential.

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