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
Posted By : Ignitivesearch Consulting Private limited
Job Skills
Big QueryJob 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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