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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 Engineering
Good to have skills : Apache Spark, Databricks Unified Data Analytics Platform, Bigdata Analytics Architecture and Design
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Architect, a typical day involves defining the data requirements and designing the structure necessary for the application. This role includes modeling the data architecture, determining how data will be stored efficiently, and planning the integration of data across various systems. The position requires a thoughtful approach to organizing data to support application functionality and scalability, ensuring that the data framework aligns with the overall project goals and technical environment. Collaboration with different stakeholders to understand data needs and translate them into a coherent data design is a key part of daily activities.
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.
- Lead the development and implementation of data architecture strategies that support business objectives.
- Facilitate communication between technical teams and business units to ensure data solutions meet organizational needs.
- Oversee the quality and consistency of data models and integration processes across projects.
- Mentor junior team members to enhance their understanding of data architecture principles and best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Good To Have Skills: Apache Spark, Bigdata Analytics Architecture and Design, Databricks Unified Data Analytics Platform.
- Strong knowledge of data modeling techniques and database design principles.
- Experience with data storage solutions and data integration methodologies.
- Ability to design scalable and efficient data pipelines.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
Additional Information:
- The candidate should have minimum 12 years of experience in Data Engineering.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
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 Engineering
Good to have skills : Apache Spark, Databricks Unified Data Analytics Platform, Bigdata Analytics Architecture and Design
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Architect, a typical day involves defining the data requirements and designing the structure necessary for the application. This role includes modeling the data architecture, determining how data will be stored efficiently, and planning the integration of data across various systems. The position requires a thoughtful approach to organizing data to support application functionality and scalability, ensuring that the data framework aligns with the overall project goals and technical environment. Collaboration with different stakeholders to understand data needs and translate them into a coherent data design is a key part of daily activities.
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.
- Lead the development and implementation of data architecture strategies that support business objectives.
- Facilitate communication between technical teams and business units to ensure data solutions meet organizational needs.
- Oversee the quality and consistency of data models and integration processes across projects.
- Mentor junior team members to enhance their understanding of data architecture principles and best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Good To Have Skills: Apache Spark, Bigdata Analytics Architecture and Design, Databricks Unified Data Analytics Platform.
- Strong knowledge of data modeling techniques and database design principles.
- Experience with data storage solutions and data integration methodologies.
- Ability to design scalable and efficient data pipelines.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
Additional Information:
- The candidate should have minimum 12 years of experience in Data Engineering.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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