Description

Lead the design and analysis of Enterprise Data Architecture for the M&A group. Eliminate fate sharing across teams through scalable, domain-driven services and blueprint multi-year transformation strategies.

Responsibilities

• Design and implement enterprise data architecture models using domain-driven principles.
• Formulate and execute data replication and cloud migration strategies, including application rationalization using the 7R approach.
• Collaborate with business and technology teams to integrate functional and non-functional architecture into the product lifecycle.
• Promote continuous delivery pipelines, DevSecOps capabilities, and the reuse of code, components, and proven patterns.
• Develop and audit data protection practices through privacy by design, privacy engineering, and risk models.

Required Skills

• 10+ years of hands-on design and implementation experience in data architecture landscapes.
• 5+ years designing SQL, No-SQL, Big Data, GraphDB, APIs, Kafka, and streaming solutions.
• 3+ years in application development, middleware, database management, security, or integration.
• Proficiency in defining current and future state data architecture models.
• In-depth knowledge of AWS (primary) and Azure (secondary) cloud data platforms.
• Mandatory cloud certification.
• Experience migrating monolith on-prem applications to the cloud using refactoring, re-architecting, and re-platforming (including 12-factor).
• Experience with DevOps tools, automated deployments, and containerization.
• Mandatory industry-recognized tool, framework, or certification.

Preferred Skills

• Experience with Master Data Management, Data Marketplace, Data Science Platforms, or Enterprise Analytics solutions.
• Exposure to Neural Networks, machine learning, deep learning, or NLP tools and frameworks.

Key Skills

Education

Any Graduate