Data Architect (Large Language Models, Generative AI, 8-12 yrs)

Data Architect

Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.

Databricks Unified Data Analytics Platform

Large Language Models (LLMs), Generative AI

Minimum

year(s) of experience is required

15 years full time education

Summary:

As a Data Architect, a typical day involves defining the data requirements and designing the structure necessary to support the application s functionality. This role includes modeling the data architecture to ensure efficient storage and seamless integration across various components. The position requires continuous collaboration with different teams to align data strategies with project goals, ensuring that the data framework supports both current and future application needs. The Data Architect plays a crucial role in shaping how data flows and is managed within the system, contributing to the overall success of the application development lifecycle.

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 design and implementation of scalable data architectures that meet business requirements.

- Facilitate communication between technical teams and stakeholders to ensure alignment on data strategies.

- Mentor junior team members to support their professional growth and enhance team capabilities.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.

- Good To Have Skills: Experience with Large Language Models (LLMs), Generative AI.

- Strong knowledge of data modeling techniques and best practices for data storage and retrieval.

- Experience in designing data integration solutions that support complex application ecosystems.

- Ability to optimize data workflows and pipelines for performance and scalability.

- Familiarity with cloud-based data platforms and distributed computing environments.

Additional Information:

- The candidate should have minimum 12 years of experience in Databricks Unified Data Analytics Platform.

- 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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