Architect, Technology Consulting at trinitylifesciences – India - Bangalore | Jobyssey

What You'll Do

Lead end-to-end client deployments and solution implementations from design through go-live and support
Define client-specific architecture for product deployments including CRM, ETL, data lakes, analytics, and engagement platforms
Architect cloud-native solutions on AWS, Azure, or GCP tailored to client environments and requirements
Design systems compliant with pharma regulations (HIPAA, GDPR, 21 CFR Part 11) with security by design
Oversee product configuration, customization, training, and adoption strategies for client success
Lead ETL pipeline design and implementation for ingesting data from client systems (CRM, ERP, MDM)
Manage integration with platforms like Veeva, Salesforce Health Cloud, Adobe Experience Cloud, and/or IQVIA data sources
Establish CI/CD pipelines and DevOps practices for efficient client deployments and updates
Analyze client pain points and requirements to design optimal solution architectures
Lead bespoke development projects and customizations tailored to specific client needs
Manage ongoing operations support and enhancements for deployed client solutions
Translate client business requirements into technical specifications and architecture blueprints
Work closely with client IT teams, data engineers, and developers to ensure seamless delivery
Evaluate third-party platforms and tools for client integration based on technical fit and requirements
Implement role-based access control, audit logging, and encryption strategies per client security policies
Provide technical leadership and mentorship to implementation teams
Coordinate with operations teams to address client issues and implement improvements
Monitor adoption and provide ongoing support to ensure client success

What You Bring

12+ years in technology architecture and client solution delivery
8+ years in data warehouse or data lake projects beyond data consumption
8+ years in pharma business consulting with deep commercial operations understanding
4+ years in programming, preferably Python or Node.js
4+ years working with batch and real-time processing systems
Strong understanding of big data solutions and analytical techniques
Hands-on experience with pharma data sources: SHS, LAAD, Plan Trak, IQVIA datasets (APLD, LAAD, MIDAS)
Proficient in patient-level data analytics with RWD data lakes and claims data (Optum, DRG, IQVIA)
Deep knowledge of IQVIA/IMS datasets for patient insights, market dynamics, and global benchmarking
Experience in commercial and marketing analytics: market assessment, forecasting, competitive intelligence, sales analytics
Expertise in ETL processes, performance optimization, and architectural design patterns
Knowledge of software development lifecycle and client implementation methodologies
Understanding of architecture frameworks (TOGAF) and design principles
Experience with integration platforms and API design (REST, GraphQL, event-driven)
Proficiency with CI/CD tools and DevOps practices for client deployments
Strong cloud platform knowledge with hands-on implementation experience across client environments
Understanding of data governance, compliance, and pharma-specific analytical needs
Experience managing client relationships and stakeholder communications
Proven ability to lead technical teams and drive successful client implementations
Strong problem-solving and conflict-resolution abilities
Excellent communicator who translates technical complexity into business value for clients
Thrives in collaborative, client-facing environments

Bonus Points

Cloud architecture certifications (AWS Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect)
TOGAF or equivalent enterprise architecture certification
Experience with digital therapeutics and omnichannel platforms
Knowledge of AI/ML model deployment in client environments
Experience with data mesh or data fabric architectures
Familiarity with clinical trial data and regulatory submissions
Experience with master data management (MDM) systems
Knowledge of patient journey analytics and outcomes research
Experience leading large-scale pharma digital transformation programs
Background in market access, HEOR, or medical affairs analytics
PMP or similar project management certification

Education:

Bachelor's or master’s degree in computer science, Business, or related field

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