Solution Architect – Data and Artificial Intelligence

Zohorecruit; Hyderabad, Dadri; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Multiplier AI in Hyderabad and Noida, India, seeks an experienced Solution Architect – Data and Artificial Intelligence to design scalable data products and AI-enabled solutions for General and Administrative functions.

You will lead end-to-end architectures on Snowflake, semantic modelling, and cloud platforms, collaborating with stakeholders across Finance, Procurement, HR, Legal, and Compliance to deliver governed data products.

Qualifications

• Significant experience as a Data Architect, Solution Architect, or Enterprise Architect delivering modern data platforms and data products.
• Strong hands-on knowledge of Snowflake, including data architecture, performance, security, workload management, and cost optimization.
• Strong experience in semantic data modelling, dimensional modelling, common business definitions, and enterprise key performance indicator design.
• Demonstrable functional knowledge in at least two General and Administrative domains, preferably Finance, Procurement, or Human Resources.
• Understanding of business processes such as record-to-report, procure-to-pay, budgeting and forecasting, workforce analytics, vendor management, or compliance reporting.
• Experience integrating data from enterprise platforms such as ERP, EPM, procurement, HRIS, or CRM.
• Strong knowledge of SQL and working knowledge of Python and modern transformation tools.

Responsibilities

• Partner with General and Administrative stakeholders to understand business processes, challenges, KPIs, and data requirements.
• Define end-to-end data and AI solution architectures aligned with enterprise standards.
• Design scalable data products on Snowflake, including ingestion, transformation, storage, semantic modelling, and consumption.
• Develop canonical, dimensional, and semantic data models with reusable metrics.
• Establish shared KPI definitions across Finance, Procurement, HR, and other functions.
• Identify AI/ML and generative AI use cases.
• Design integrations across ERP, procurement, HRIS, CRM, legal, compliance, and other platforms.
• Provide architecture guidance across Snowflake, SQL, Python and cloud services.

Skills

Data architecture

Solution architecture

Enterprise architecture

Stakeholder collaboration

Business process understanding

SQL

Python

Cloud platforms

Tools

Snowflake

Semantic data modelling

Dimensional modelling

Power BI

Looker

Tableau

AWS

Azure

Job description

Solution Architect – Data and Artificial Intelligence

Hyderabad, Noida, India | Posted on 09/24/2026

Multiplier AI is a leading AI-driven Healthcare and Life Sciences technology company delivering innovative solutions across Pharma, Healthcare, and Enterprise AI. We empower global organizations with AI-powered platforms, data intelligence, automation, and digital transformation solutions. As we continue to expand, we are looking for energetic professionals who can contribute to our business growth while ensuring operational excellence.

Job Description

Solution Architect – Data and Artificial Intelligence | Snowflake, Semantic Data Modelling and G&A Domains

We are seeking an experienced Solution Architect – Data and Artificial Intelligence to design and deliver scalable data products and artificial intelligence-enabled solutions for General and Administrative functions.

The ideal candidate will have strong expertise in Snowflake, semantic data modelling, cloud data platforms, and artificial intelligence , along with practical functional knowledge in one or more General and Administrative domains, such as Finance, Procurement, Human Resources, Corporate, Legal, Compliance, Communications, or Business Development.

This role combines technical architecture with business process understanding. The candidate will work closely with functional stakeholders to translate business requirements into governed, reusable data products and solutions. The architect will define end-to-end architectures, establish enterprise data standards, guide engineering teams, and develop practical delivery roadmaps aligned with business objectives.

Key Responsibilities

• Partner with General and Administrative stakeholders to understand business processes, challenges, key performance indicators, and data requirements.
• Define end-to-end data and artificial intelligence solution architectures aligned with enterprise standards.
• Design scalable data products on Snowflake, including data ingestion, transformation, storage, semantic modelling, and consumption.
• Develop canonical, dimensional, and semantic data models with consistent business definitions and reusable metrics.
• Establish shared key performance indicator definitions across Finance, Procurement, Human Resources, and other corporate functions.
• Identify appropriate artificial intelligence, machine learning, and generative artificial intelligence use cases.
• Design integrations across enterprise resource planning, procurement, human resources information systems, customer relationship management, legal, compliance, and other enterprise platforms.
• Provide architecture guidance across Snowflake, SQL, Python and cloud services.

Requirements

• Significant experience as a Data Architect, Solution Architect, or Enterprise Architect delivering modern data platforms and data products.
• Strong hands-on knowledge of Snowflake, including data architecture, performance, security, workload management, and cost optimization.
• Strong experience in semantic data modelling, dimensional modelling, common business definitions, and enterprise key performance indicator design.
• Demonstrable functional knowledge in at least two General and Administrative domains, preferably Finance, Procurement, or Human Resources.
• Understanding of business processes such as record-to-report, procure-to-pay, budgeting and forecasting, workforce analytics, vendor management, or compliance reporting.
• Experience integrating data from enterprise platforms such as enterprise resource planning, enterprise performance management, procurement, human resources information systems, or customer relationship management systems.
• Strong knowledge of SQL and working knowledge of Python and modern transformation tools.
• Experience designing governed data products for reporting, analytics, artificial intelligence, and self-service consumption.
• Architecture experience on Amazon Web Services or Microsoft Azure.
• Experience with business intelligence and semantic-layer technologies such as Power BI, Looker, Tableau.
• Opportunities for professional growth and career development in data architecture and artificial intelligence.
• Exposure to Snowflake, semantic data modelling, cloud data platforms, and enterprise data products.
• Opportunity to design scalable and reusable data and artificial intelligence solutions.
• Collaboration with business stakeholders across Finance, Procurement, Human Resources, Legal, and Compliance.
• Experience working on enterprise data governance, data quality, security, and regulatory compliance.
• Opportunities to develop trusted enterprise metrics and semantic data models.
• Collaboration with cross-functional business, product, architecture, and engineering teams.
• Opportunity to contribute to artificial intelligence-enabled solutions and modern data transformation initiatives.