Solution Architect - Data

Insight Global; Hyderabad; On-site; INR 450,000 - 750,000; Full time

Job summary

Insight Global in Hyderabad is seeking a Delivery Transformation Office – Data Transformation Architect to lead enterprise data transformations for strategic clients. You will translate business challenges into modern data, analytics, and AI solutions with hands-on, client-facing leadership.

The role focuses on building modern data platforms using Microsoft Fabric, Databricks, ADF, and cloud environments (Azure/AWS), designing scalable data architectures, roadmaps, POC, and driving adoption

Qualifications

• 8+ years of experience in solution architecture, data architecture, or enterprise transformation roles.
• Demonstrated experience architecting large-scale data and analytics solutions.
• Strong experience with Microsoft Fabric, Databricks, ETL/ELT, and Azure/AWS cloud environments.
• Experience leading data modernization or cloud data transformation initiatives.

Responsibilities

• Define and lead client-facing data transformation strategies and roadmaps.
• Architect scalable data platforms and pipelines using Microsoft Fabric, Databricks, ADF, and cloud services.
• Lead PoCs and pilots through production deployment and enterprise adoption.
• Translate business requirements into scalable technical solutions for executives and technical leaders.
• Collaborate with engineering and delivery teams to ensure secure, governed, and scalable architectures.
• Quantify business value and drive measurable improvements in cost, performance, and user experience.

Skills

Data architecture

Databricks

Azure

ETL/ELT

Data integration

Azure Data Factory

AI/BI

Power BI

Tableau

Cloud architecture

APIs

Microservices

DevOps

Data governance

Leadership

Tools

Microsoft Fabric

Databricks

Azure Data Factory

Power BI

Job description

Delivery Transformation Office – Data Transformation Architect.

We are seeking a Transformation Architect specializing in Data to lead the transformation of large-scale enterprise delivery programs for strategic clients. This role is ideal for a hands-on, client-facing architecture leader who can translate business challenges into modern data, analytics, and AI solutions.

The ideal candidate brings deep experience across enterprise data architecture, Microsoft Fabric, Databricks, ETL/data integration, Azure Data Factory (ADF), AI/BI, and Azure/AWS cloud environments, along with the executive presence to consult with clients, shape solution roadmaps, and lead transformation from strategy through implementation.

What You Will Do

• Serve as a client-facing Data Solution Architect, partnering with client executives, technology leaders, data teams, and delivery organizations to define and execute enterprise data transformation strategies.
• Assess clients' current data ecosystems and develop modernization roadmaps across data platforms, analytics, AI, cloud, and data engineering.
• Architect scalable data platforms and pipelines using technologies such as Microsoft Fabric, Databricks, Azure Data Factory, Azure, and AWS.
• Design modern data architectures that support data ingestion, ETL/ELT, lakehouse architectures, data warehousing, analytics, BI, and AI use cases.
• Help clients modernize legacy data platforms and migrate workloads to cloud-based data ecosystems.
• Translate business requirements into scalable technical solutions and clearly communicate architecture decisions, trade-offs, and recommendations to both technical and executive stakeholders.
• Lead proof-of-concepts and pilot initiatives through production deployment and scaled enterprise adoption.
• Identify opportunities to apply AI, advanced analytics, and BI to improve decision-making, automation, productivity, and customer experience.
• Partner with engineering and delivery teams to ensure solutions are architecturally sound, secure, governed, scalable, and aligned with client objectives.
• Quantify and communicate the business value of transformation initiatives through measurable improvements in cost, performance, productivity, quality, and user experience.

Transformation Focus Areas

Data & Analytics Modernization

• Modern data platforms, lakehouse and data warehouse architectures
• Microsoft Fabric and Databricks
• ETL/ELT architecture and data integration
• Azure Data Factory pipelines and orchestration
• Data modeling, ingestion, transformation, and consumption
• Business intelligence, reporting, and advanced analytics
• Azure-first data architectures with experience across Azure and AWS
• Cloud migration and modernization of legacy data environments
• Scalable, secure, and resilient enterprise data platforms
• Integration across cloud, hybrid, and on-premises environments
• AI/BI strategy and architecture
• Generative AI and AI-enabled analytics
• Power BI and enterprise visualization
• Enabling AI/ML use cases through modern, governed data platforms
• Translating enterprise data into actionable business insights

Delivery Transformation

• Modernization of large-scale enterprise delivery environments
• Global and offshore delivery models
• Automation and productivity improvement
• Governance, quality, security, and operational excellence

Core Skills & Experience

Data Architecture & Engineering

• Strong experience designing enterprise-scale data architectures and modern data platforms
• Hands-on architectural experience with Microsoft Fabric and/or Databricks
• Deep understanding of ETL/ELT processes, data integration, data pipelines, and orchestration
• Experience designing and modernizing Azure Data Factory (ADF) pipelines
• Understanding of modern architectural patterns including lakehouse, data lake, and data warehouse architectures
• Experience integrating structured and unstructured data across multiple enterprise systems

Cloud

• Strong experience with Microsoft Azure, particularly Azure-based data services
• Experience working with AWS data environments and/or designing multi-cloud solutions
• Experience migrating legacy data platforms and workloads to cloud-based architectures

AI, Analytics & BI

• Experience designing data platforms that support AI, machine learning, GenAI, advanced analytics, and BI use cases
• Strong understanding of how enterprise data architectures enable AI adoption
• Experience with Power BI and/or Tableau
• Ability to connect technical data strategy to measurable business outcomes
• Experience designing integrations using APIs, microservices, and enterprise data services
• Understanding of DevOps/DataOps, CI/CD, observability, security, and data governance
• Ability to take solutions from discovery and architecture through POC, implementation, and enterprise-scale adoption

Qualifications

• 8+ years of experience in solution architecture, data architecture, data engineering, technology consulting, or enterprise transformation roles.
• Demonstrated experience architecting large-scale enterprise data and analytics solutions.
• Strong experience with Microsoft Fabric, Databricks, ETL/ELT, ADF/data pipelines, and Azure and/or AWS cloud environments.
• Experience leading data modernization or cloud data transformation initiatives from strategy through implementation.
• Strong enterprise consulting and client-facing experience, including the ability to lead discovery sessions and architecture discussions with senior technical and business stakeholders.
• Ability to translate complex technical concepts into clear recommendations and business value for executive audiences.
• Proven ability to lead cross-functional engineering, architecture, data, and delivery teams.
• Experience delivering measurable improvements across cost, scalability, performance, quality, and customer experience.

Why This Role

This role sits at the intersection of data strategy, architecture, AI, and enterprise transformation. You will work directly with strategic clients to modernize how they collect, manage, analyze, and activate data while building the foundation required for advanced analytics and AI.

You will have the opportunity to shape enterprise data roadmaps, architect modern platforms using technologies such as Microsoft Fabric and Databricks, lead cloud and data modernization initiatives, and take solutions from initial strategy through scaled implementation.