Data Architect-AI and Data Solutions Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy enterprise-scale AI and data solutions across cloud platforms (AWS/Azure/GCP).
Lead technical architecture discussions to translate business requirements into integrated, scalable data architectures and pipelines.
Manage full project lifecycle including planning, execution, mentoring junior staff, and tracking key delivery metrics.
Minimum Requirements
6-9 years of relevant consulting, industry, or technology experience.
Proficiency in cloud architecture design on at least one platform: AWS, Azure, or GCP with specific hands-on skills detailed per platform.
Mandatory education: BE/B.Tech/MCA/M.Sc or equivalent degree from accredited university.
Work Experience Required: 6-9 years relevant experience explicitly mentioned; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in designing and modernizing large-scale cloud data and AI platforms involving structured/unstructured data integration and governance.
Demonstrated capability in leading cloud migration, automation, and deploying end-to-end AI/data solutions with hands-on expertise in cloud-native services and DevOps.
Skilled in mentoring teams and driving solution delivery in Agile environments with ability to handle cross-functional and global collaboration.