Technology Architect

Project Role :Technology Architect


Project Role Description :Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements. Review and integrate the technical architecture requirements. Provide input into final decisions regarding hardware, network products, system software and security.

Must have skills :Data & AI Strategy


Good to have skills :NA
Minimum

15 year(s) of experience is required


Educational Qualification :15 years full time education

Summary:As a Technology Architect, you will review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements. You will also review and integrate the technical architecture requirements and provide input into final decisions regarding hardware, network products, system software, and security. Your typical day will involve analyzing and understanding application requirements, collaborating with cross-functional teams, and making critical decisions to ensure the successful implementation of technology solutions.
Roles & Responsibilities:

Expected to be a SME with deep knowledge and experience.

Should have Influencing and Advisory skills.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

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

Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

Design and review technical architectures to ensure they meet functional, security, integration, performance, and quality requirements.

Provide guidance and recommendations on hardware, network products, system software, and security.

Stay updated with the latest technology trends and advancements to drive innovation in the organization.
Professional & Technical Skills:

Must To Have Skills:Proficiency in Data & AI Strategy.

Strong understanding of statistical analysis and machine learning algorithms.

Experience with data visualization tools such as Tableau or Power BI.

Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.

Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
Additional Information:

The candidate should have a minimum of 15 years of experience in Data & AI Strategy.

This position is based at our Bengaluru office.

A 15 years full-time education is required.

Qualifications
15 years full time education