Data Architect

Job Description:

Key Responsibilities

The ideal profile should have a strong foundation in data concepts, design, and strategy, with the ability to work across diverse technologies in an agnostic manner.

Transactional Database Architecture

• Design and implement high-performance, reliable, and scalable transactional database architectures.
• Collaborate with cross-functional teams to understand transactional data requirements and create solutions that ensure data consistency, integrity, and availability.
• Optimize database designs and recommend best practices and technology stacks.
• Oversee the management of entire transactional databases, including modernization and de-duplication initiatives.

Data Lake Architecture

• Design and implement data lakes that consolidate data from disparate sources into a unified, scalable storage solution.
• Architect and deploy cloud-based or on-premises data lake infrastructure.
• Ensure self-service capabilities across the data engineering space for the business.
• Work closely with Data Engineers, Product Owners, and Business teams.

Data Integration & Governance:

• Understand ingestion and orchestration strategies.
• Implement data sharing, data exchange, and assess data sensitivity and criticality to recommend appropriate designs.
• Basic understanding of data governance practices.

Innovation

• Evaluate and implement new technologies, tools, and frameworks to improve data accessibility, performance, and scalability.
• Stay up-to-date with industry trends and best practices to continuously innovate and enhance the data architecture strategy.

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