Deployment Lead - Data Engineering

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.