Digital Transformation Solutions Architect (India)

Digital Transformation Solutions Architect (India)

Job Description

About us, a digital-first technology services firm accelerates business transformation and delivers human-centric digital experiences.

We meet customers where they are in the digital lifecycle and help them outperform their competition through speed and innovation.

Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients' toughest technology problems, and a commitment to continuous improvement.

We have a global presence with offices across four continents.

Job Title: Life Sciences Solution Architect

Qualification:

- Bachelor's or master's degree in computer science, life sciences, information technology, or a related discipline.




- Relevant certifications such as AWS/Azure/GCP Solution Architect, TOGAF, or certifications in GxP or HIPAA are preferred.
- Minimum 10 years of experience, 2+ years of experience as architect in life science domain

Required Skills & Qualifications

Domain Expertise – Life Sciences

- Strong knowledge of clinical trials, pharmacovigilance, lab management, regulatory submissions, or manufacturing systems
- Experience working with platforms such as Veeva, Medidata, Oracle Health Sciences, LIMS, or CTMS
- Deep understanding of GxP, 21 CFR Part 11, HIPAA, GDPR, and data integrity regulations
- Deep understanding of all phases of clinical trials, drug development, government and regulatory approval processes.
- Familiarity with eTMF, CDISC standards (SDTM, ADaM), and electronic data capture (EDC) systems
- Experience with digital transformation in R&D;, clinical, or regulatory affairs domains

Application Architecture

- Proven experience in designing large-scale, distributed, and high-availability systems.
- Proficiency in architecture patterns: microservices, domain-driven design (DDD), event-driven architecture,



service mesh.
- Deep understanding of multi-tier architecture, integration patterns, and messaging systems (Kafka, RabbitMQ, etc.).
- Hands-on experience with REST, GraphQL, and SOAP-based service integration.
- Hands-on experience defining NFRs including scalability, availability, and performance.

Cloud Platforms & Infrastructure

- Strong expertise on one or more cloud platforms (AWS, Azure, GCP)
- Experience with PaaS, serverless, managed databases, and compliance-ready cloud services
- Hands-on experience with Infrastructure as Code (Terraform, Cloud Formation, or Bicep/ARM templates)
- Familiarity with hybrid and multi-cloud strategies and deployment models
- Experience in designing for cloud resilience, failover, and DR strategies.

Security and Compliance

- Solid knowledge of application, infrastructure,



and data security principles.
- Strong knowledge of cloud security, encryption standards, IAM, KMS, and secure APIs
- Experience implementing secure, compliant systems handling PHI/PII and lab/clinical data
- Familiarity with tools and processes for secure SDLC and Dev SecOps practices
- Knowledge of audit trails, digital signatures, validation, and compliance reporting

Data, AI/ML & Integration

- Experience designing data flows and architectures for structured and unstructured data
- Familiarity with clinical data pipelines, data standardization, and metadata management
- Exposure to AI/ML models in drug discovery, clinical risk analysis, or real-world data analysis
- Experience integrating analytics tools and platforms like Snowflake, Databricks, or Big Query

Dev Ops and Engineering Excellence

- Experience with CI/CD pipelines and tools (Jenkins,



Azure Dev Ops, Git Lab, etc.)
- Monitoring, observability, and incident response experience with tools like Prometheus, ELK, Datadog
- Hands-on with containerization (Docker) and orchestration (Kubernetes).
- Support engineering teams with code review, technical leadership, and reusable reference architecture

Soft Skills & Technical Leadership

- Excellent communication and stakeholder engagement skills (technical and non-technical)
- Ability to manage complex requirements from regulatory, clinical, and data privacy teams
- Capable of leading architecture reviews and making decisions balancing risk, value, and speed
- Experience in Agile, SAFe, or other iterative development methodologies
- Ability to mentor engineering teams on design and best practices.

Key Responsibility:

- Design and own scalable, secure,



and regulatory-compliant solution architectures for life sciences applications
- Partner with business stakeholders to understand strategic goals and translate them into architectural solutions
- Define data models, integration strategies, cloud hosting blueprints, and system interoperability patterns
- Drive architectural reviews, technology selection, and proof of concept (POC) initiatives
- Ensure security and privacy by design, aligned with life sciences regulations and best practice

Our company has a strong commitment to diversity and inclusion, ensuring equal employment opportunity for all qualified individuals.

We offer a range of benefits to support our employees, including health insurance,



paid holidays and earned leaves, parental leave, and career development opportunities.

📌 Digital Transformation Solutions Architect
🏢 beBeeLifeSciencesSolutionArchitect
📍 India

The original job offer can be found in Kit Job:
kitjob.in/job/179139223