Cloud & Data Platform Architect

Reposted 3 Days Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
Consulting
The Role
The role involves designing data platforms, establishing standards, optimizing cloud performance, and mentoring engineers within the life sciences sector.
Summary Generated by Built In

Job Family:

Data Science & Analysis (India)


Travel Required:

None


Clearance Required:

None

Position Summary:

The Cloud & Data Platform Architect, Life Sciences Technology, is responsible for defining and governing the secure, scalable data platform foundations that enable analytics, AI, and digital solutions across commercial, market access, patient services, and medical affairs functions.

This role owns cloud modernization architecture, lakehouse design, ingestion frameworks, data governance alignment, and DataOps standards required to operationalize life sciences data in regulated environments. The architect ensures platforms are secure, resilient, cost-efficient, and production-ready — providing a reliable foundation for downstream analytics, GenAI applications, and enterprise integrations. This role balances hands-on technical design with architectural governance, ensuring consistent standards and repeatable patterns across engagements.

What You Will Do:

  • 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 (raw → curated → consumable layers) 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.

What You Will 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.

What Would Be Nice To Have:

  • Experience supporting life sciences or other regulated industry data ecosystems.
  • Familiarity with syndicated US pharma commercial datasets, CRM integrations, or specialty pharmacy/HUB data flows.
  • Experience with real-time streaming architectures (e.g., Kafka or equivalent).
  • Experience implementing data governance tools (catalog, lineage, data quality monitoring).
  • Databricks or Snowflake cloud or data platform certifications.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Skills Required

  • 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
  • Experience designing ingestion frameworks using ELT/CDC patterns
  • Expert Data Modelling skills in designing data marts, data products and semantic data models
  • Strong understanding of secure cloud architecture principles
  • 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

Guidehouse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.

  • Healthcare Strength Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
  • Parental & Family Support Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
  • Wellbeing & Lifestyle Benefits Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.

Guidehouse Insights

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The Company
HQ: McLean, VA
12,000 Employees
Year Founded: 2018

What We Do

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

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