Cloud & Data Platform Architect

Guidehouse

Cloud & Data Platform Architect overseeing secure, scalable data platforms for analytics and AI in regulated environments. Driving cloud modernization architecture and DataOps practices for commercial, market access, patient services, and medical affairs functions.

Posted 6/14/2026full-timeHyderabad • 🇮🇳 IndiaSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Define and maintain cloud modernization architecture standards, guiding principles, including network design, IAM/RBAC models, encryption, key management, logging, and audit controls
Architect scalable lakehouse data platforms with medallion architecture principles optimized for analytics and AI workloads
Design ingestion and integration patterns supporting batch, streaming, and change data capture (CDC) across structured and semi-structured datasets
Establish enterprise-grade DataOps practices, including CI/CD for pipelines, infrastructure-as-code standards, automated testing, environment promotion strategies, and release governance
Define data quality frameworks, validation rules, reconciliation controls, and lineage standards to ensure trust and auditability
Optimize platform performance, cost management, scalability, and reliability across cloud environments
Define and enforce operational standards, including monitoring, alerting, runbooks, and reliability targets for data pipelines and services
Collaborate with Enterprise Solution Architect on cross-system integration patterns and non-functional requirement alignment
Partner with Functional Architect to ensure business definitions are accurately reflected in physical and logical data models
Mentor data engineers and provide architectural oversight across multiple delivery workstreams
Develop reusable platform accelerators, reference architectures, ingestion templates, and governance playbooks to increase delivery velocity and consistency

Requirements

What you’ll need

8–11 years of experience in data engineering and cloud platform architecture
3+ years designing and governing enterprise-grade cloud data platforms
Strong experience with Azure or AWS data ecosystems and lakehouse architectures (e.g., ADLS/S3, Databricks, Snowflake, or similar platforms)
Experience designing ingestion frameworks using ELT/CDC patterns and distributed processing models
Expert Data Modelling skills in designing data marts, data products and semantic data models
Strong understanding of secure cloud architecture principles, including IAM, encryption, and auditability
Experience implementing CI/CD pipelines and infrastructure-as-code for data platforms
Experience defining operational metrics and monitoring strategies for production data platforms
Ability to lead architectural discussions and guide distributed engineering teams
Bachelor’s degree in computer science, engineering, or related discipline

Benefits

Comp & perks

Comprehensive, total rewards package
Competitive compensation
Flexible benefits package that reflects our commitment to creating a diverse and supportive workplace

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

cloud modernization architecturenetwork designIAMRBACencryptionkey managementloggingaudit controlsDataOpsCI/CD

Soft Skills

mentoringcollaborationleadershipguidancecommunication

Certifications

Bachelor’s degree in computer scienceBachelor’s degree in engineering