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Data Architect
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Data Architect
Accenture12-14 Years
- Posted 8 hours ago
- Be among the first 10 applicants
Job Description
Project Role : Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Data & AI Solution Architecture
Good to have skills : NA
Minimum 12 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary: As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications while collaborating with various teams to achieve project goals. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and best practices among team members. - Evaluate and recommend tools and technologies to enhance data architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Solution Architecture. - Good To Have Skills: Experience with Solution Architecture. - Strong understanding of data modeling techniques and methodologies. - Experience with cloud-based data solutions and architectures. - Proficiency in data integration and ETL processes. - Familiarity with data governance and data quality frameworks. - Proven experience leading cloud, DevOps, or AI modernization initiatives. - Strong understanding of LLMs, automation, and engineering toolchains. - Ability to translate AI innovation into business and productivity impact. Additional Information: - The candidate should have minimum 12 years of experience in Data & AI Solution Architecture. - This position is based at our Bengaluru office. - A 15 years full time education is required.
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Data & AI Solution Architecture
Good to have skills : NA
Minimum 12 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary: As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications while collaborating with various teams to achieve project goals. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and best practices among team members. - Evaluate and recommend tools and technologies to enhance data architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Solution Architecture. - Good To Have Skills: Experience with Solution Architecture. - Strong understanding of data modeling techniques and methodologies. - Experience with cloud-based data solutions and architectures. - Proficiency in data integration and ETL processes. - Familiarity with data governance and data quality frameworks. - Proven experience leading cloud, DevOps, or AI modernization initiatives. - Strong understanding of LLMs, automation, and engineering toolchains. - Ability to translate AI innovation into business and productivity impact. Additional Information: - The candidate should have minimum 12 years of experience in Data & AI Solution Architecture. - This position is based at our Bengaluru office. - A 15 years full time education is required.
More Info
Key Skills
Data modeling techniques and methodologies
Data AI Solution Architecture
Data governance and data quality frameworks
Data integration and ETL processes
LLMs automation and engineering toolchains
Cloud DevOps or AI modernization initiatives
Cloud-based data solutions and architectures
About Company
Skills:
data vault , Solution Architecting, Data Modeling, Data Architecture, Dimensional Modeling, Data Warehousing, Oltp
Skills:
Mqtt, Solution Architecture, Kafka, Kepware, ERP integration, OT-to-cloud modernization, Azure Cloud Observability, Mes, Unified Namespace, Azure IoT Hub, Industrial Connectivity Messaging, HiveMQ, OPC UA, HighByte Intelligence Hub, Sparkplug B, OEE data models
Skills:
Solution architecture, Enterprise Architecture, Application Development, Architecture, Business process modeling
Skills:
data engineering , Artificial Intelligence, Python, Sql, Pyspark, Devops, Api Integration, Microservices, Terraform, Azure Devops, Github, Kubernetes, Docker, Solution Architecture, Effort Estimation, Rfp, Rfi, Requirement Gathering, Solution Design, Cloud Architecture, Aws, Azure, Gcp, Data Architecture, Databricks, Etl, Resource Planning, Proposal Development, Stakeholder Management, Llm