[Hiring] Platform Architect @Majesco

Role Description

At Majesco, we're looking for a hands-on Platform Architect who loves turning complex technical challenges into working solutions. You'll help shape how enterprise data, cloud platforms, and AI technologies come together. From designing data architectures and building prototypes to connecting AI agents with enterprise systems, your work will directly influence how we build and scale our Data & AI platform.

This isn't a role where you simply create diagrams and hand them off. You'll roll up your sleeves, build what you can, and guide the technical design of what comes next.

What You'll Do

• Design Data & AI architectures.
• Create scalable technical designs that connect enterprise applications, data platforms, cloud infrastructure, and AI capabilities.
• Build and prototype solutions.
• Develop proofs of concept, core data structures, SQL tables, integrations, and working components to test ideas and accelerate delivery.
• Architect enterprise data flows.
• Design how data moves from source systems through ingestion, transformation, and business-ready data models that support analytics, applications, and AI.
• Connect AI with enterprise systems.
• Design solutions using AI gateways, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), APIs, and agentic AI architectures.
• Turn designs into actionable technical plans.
• Define requirements for infrastructure, hosting, security, identity management, and integrations.
• Partner with the Platform Delivery Lead to coordinate work that requires specialized teams.
• Validate end-to-end solutions.
• Review completed implementations, test connectivity and integrations, and confirm solutions meet architectural and business requirements.

Qualifications

• Experience in solution architecture, platform engineering, data engineering, software development, or a related technical discipline.
• Hands-on experience designing, developing, or prototyping technical solutions.
• Strong understanding of SQL, data modeling, data integration, and how data moves across enterprise systems.
• Working knowledge of cloud architecture, APIs, application integrations, and modern data platforms.
• Ability to translate business requirements into technical designs, diagrams, specifications, and working prototypes.
• Familiarity with AI technologies and an interest in building secure, practical AI solutions that connect with enterprise data.

Bonus Points

• Experience in Microsoft Fabric, Databricks, Snowflake, or modern lakehouse architectures.
• Azure or AWS cloud architecture, hosting, and enterprise integrations.
• ETL/ELT pipelines, data transformation, semantic models, and advanced SQL.
• AI agents, AI gateways, MCP servers, RAG, or agentic AI frameworks.
• Enterprise AI platforms such as Glean, Claude, or OpenAI.
• Identity and access management, Single Sign-On (SSO), and enterprise security architecture.
• Experience building micro-applications, internal tools, or AI-enabled business solutions.

Benefits

• Annual base salary range of $105,000 to $135,000.
• Comprehensive employee benefits package with most coverage starting on day 1.
• Medical, dental & vision insurance.
• Employer-funded HSA coordinating with a high-deductible health plan.
• FSA; short-term/long-term disability.
• Life/AD&D insurance.
• 401(k), flexible time off, paid sick days & 11 paid holidays.
• Paid parental/bonding leave; career anniversary leave and other voluntary benefits.