AI & Data Solution Architecture

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 : AI & Data 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, a typical day involves defining the data requirements essential for the application s success. This role includes designing and modeling the structure of data to ensure efficient storage and seamless integration across various systems. The position requires a thoughtful approach to organizing data frameworks that support application functionality and scalability, while collaborating with different stakeholders to align data strategies with project goals. The Data Architect plays a key role in shaping how data flows and is managed within the application environment, ensuring robustness and adaptability in the data design.

Roles & Responsibilities:

1)Define Data & Analytics Strategy aligned with business goals and transformation priorities

2) Lead end-to-end delivery of data engineering, analytics, and AI/ML solutions

3) Design scalable data platforms and oversee architecture across cloud and enterprise systems

4) Establish data governance & quality frameworks ensuring compliance and reliability

5)Manage cross-functional teams and drive agile delivery

6)Engage stakeholders to translate business needs into data-driven solutions

7) Drive innovation & responsible AI adoption, ensuring value realization and risk management

8)Expected to be an SME, collaborate and manage the team to perform.

9)Responsible for team decisions.

10)Engage with multiple teams and contribute on key decisions.

11) Expected to provide solutions to problems that apply across multiple teams.

12) Lead the development and implementation of data architecture standards and best practices.

13)Facilitate communication between technical teams and business stakeholders to ensure data requirements are met.

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

Professional & Technical Skills:

• Must To Have Skills: Proficiency in AI & Data Solution Architecture.

• Strong expertise in designing scalable data models and data integration strategies.

• Experience with cloud-based data storage and processing platforms.

• Ability to analyze complex data flows and optimize data pipelines for performance and reliability.

• Familiarity with data governance, security, and compliance considerations in data architecture.

• Skilled in collaborating with cross-functional teams to align data architecture with business objectives.

If you are intersted please ping me @[email protected] for confidential discussion