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Ignitivesearch Consulting Private limited logo

Enterprise Architecture (Ign Job/ 60)

For Offers Technology Consulting And Digital Solutions Globally.

12 - 20 Years

Full Time

Up to 30 Days

Up to 45 LPA

2 Position(s)

Bengaluru, Coimbatore, Chennai, Chandigarh, Mumbai, Gurugram, Aurangabad, Delhi, Gandhinagar, Bhubaneswar, Vadodara, Mysuru, Vijayawada, Navi Mumbai, Warangal, Kolkata, Ahmedabad, Pune, Visakhapatnam, Noida, Nashik/Nasik, Nagpur, Indore, Hyderabad

12 - 20 Years

Full Time

Up to 30 Days

Up to 45 LPA

2 Position(s)

Bengaluru, Coimbatore, Chennai, Chandigarh, Mumbai, Gurugram, Aurangabad, Delhi, Gandhinagar, Bhubaneswar, Vadodara, Mysuru, Vijayawada, Navi Mumbai, Warangal, Kolkata, Ahmedabad, Pune, Visakhapatnam, Noida, Nashik/Nasik, Nagpur, Indore, Hyderabad

Job Description

  • Drive client conversations, solutions and build strong relationships with client, acting as a trusted advisor and technical expert.
  • Experienced in laying down Architectural roadmap, guidelines and High Level Design covering E2E lifecycle of data value chain from ingestion, integration, consumption (visualization, AI)
  • Drive the adoption of cloud computing, microservices architecture, API management, and other emerging technologies to enable digital transformation and innovation.
  • Communicate the enterprise architecture vision, principles, and roadmap to stakeholders at all levels of the organization, and advocate for architectural decisions and investments.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Total experience of 15+ years on data analytics implementations. Minimum 10+ years of extensive experience as a  Solution Architect or similar senior role.
  • Proven success in leading large-scale data migrations, particularly to GCP.
  • In-depth knowledge of data architecture principles and best practices.
  • Strong understanding of data modeling techniques and the ability to create efficient data models.
  • Experience working with GCP and its various data management services (e.g., BigQuery, Cloud Storage, Dataflow, dbt).
  • Experience with at least one programming language commonly used in data processing (e.g., Python, Java).
  • A demonstrable understanding of Data Science, Artificial Intelligence, and Machine Learning concepts.

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