Enterprise Architect

Project Role : Enterprise Architect

Project Role Description : Define and implement enterprise architecture strategies and operating models. Articulate a compelling enterprise architecture vision, target state, and transformation roadmap.

Must have skills : Data Engineering

Good to have skills : Graph Databases, Data Governance, Data Analytics

Minimum 15 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As an Enterprise Architect, a typical day involves defining and implementing comprehensive enterprise architecture strategies that align with organizational goals. This role requires envisioning and articulating a clear and compelling architecture vision, establishing a target state for the enterprise, and developing a detailed transformation roadmap. The position demands continuous collaboration with various stakeholders to ensure the architecture supports business objectives and adapts to evolving technological landscapes. The Enterprise Architect plays a pivotal role in guiding the organization through complex changes by setting frameworks and models that drive innovation and operational excellence.

Roles & Responsibilities:

• Expected to be a SME with deep knowledge and experience.
• Should have Influencing and Advisory skills.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Expected to provide solutions to problems that apply across multiple teams.
• Lead the development and communication of enterprise-wide architecture standards and best practices to ensure consistency and quality.
• Facilitate cross-functional collaboration to align technology initiatives with business strategies and promote a unified approach to enterprise architecture.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Data Engineering, Data, knowledge graph, hand on (Data management, ontology)
• Good To Have Skills: Experience with Graph Databases, Data Governance, Data Analytics.
• Strong understanding of data pipeline architecture and ETL processes.
• Experience with cloud-based data storage solutions and data warehousing.
• Familiarity with data modeling and database design principles.
  
  

Additional Information:

• The candidate should have minimum 15 years of experience in Data Engineering, and 8-9 years of experience on knowledge graph and ontology.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.