CloudLabs Inc
Website:
cloudlabsit.com
Job details:
About CloudLabs:
CloudLabs Inc was founded in 2014 with the mission to provide exceptional IT & Business consulting services at a competitive price, to help clients realize the best value from their investments.
Within a short span, CloudLabs evolved from pure-play consulting into a transformative partner for Business Acceleration Advisory, Transformative Application Development & Managed Services - enabling digital transformations, M&A transitions, Automation & Process-driven optimizations & complex Integration initiatives for enterprises across the globe.
As a Strategic Planning & Implementation Partner for global companies, CloudLabs has seen a 200% uptake in winning high-value, high-impact and high-risk projects that are critical for the business.
With offices in the US, Canada, Australia & India and with the team of 250+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress.
Please write & follow us here:
Website: cloudlabsit.com
LinkedIn: CloudLabs Inc
Email us: info@cloudlabsit.com
What we offer:
- We welcome candidates rejoining the workforce after career break/parental leave and support their journey to reacclimatize too corporate.
- Flexible remote work.
- Competitive pay package.
- Attractive policy, medical insurance benefits, industry leading training.
- Opportunity to work remotely is available.
Experience Required: 15+ years
Job Location: India
Job Type: Remote
Job Summary:
We’re seeking a highly experienced Senior Technical Architect to support enterprise integration, data readiness, analytics, and AI-enablement initiatives. This is a hands-on technical consulting role responsible for designing and implementing scalable integration and data solutions across Commercial, R&D, Manufacturing, Supply Chain, Finance, and Corporate functions.
Key Responsibilities:
- Assess current-state integrations, data architecture, and data management capabilities and recommend future-state solutions.
- Design and implement enterprise integrations between business applications, data platforms, and analytics environments.
- Build and optimize data lakes, data warehouses, lakehouses, semantic layers, and reusable data products.
- Develop scalable data ingestion, transformation, and orchestration solutions.
- Establish data governance, master data management (MDM), metadata, lineage, and data quality frameworks.
- Enable trusted, governed data for reporting, dashboards, self-service analytics, and AI use cases.
- Connect data across SAP, Veeva, Salesforce, clinical, regulatory, manufacturing, and commercial systems.
- Partner with business and IT stakeholders to translate requirements into technical architectures and implementation roadmaps.
- Provide technical guidance, solution design, hands-on delivery, and best-practice recommendations.
- Evaluate integration and data technologies and recommend sustainable operating models and implementation approaches.
- Support data literacy, documentation, knowledge transfer, and adoption activities as needed.
Required Experience
- 15+ years of hands-on experience in enterprise integrations, data architecture, analytics, and data platform delivery.
- Deep expertise with enterprise integration technologies such as Informatica IDMC, PowerCenter, SAP BTP, SAP CPI, Dell Boomi, MuleSoft, or similar platforms.
- Strong experience with Databricks, Snowflake, SAP HANA, data lakes, data warehouses, and lakehouse architectures.
- Experience implementing governance, MDM, data quality, security, privacy, and compliance controls.
- Proven success integrating enterprise applications including SAP, Veeva CRM, Salesforce, Veeva PromoMats, Veeva Medical Communications, and related life sciences platforms.
- Experience supporting commercial, R&D, manufacturing, supply chain, and corporate data domains.
- Ability to work independently, influence stakeholders, and deliver solutions in a fast-paced environment.
- Bachelor's degree required; advanced degree preferred.
Ideal Background
- Life sciences, biotechnology, pharmaceutical, or radiopharmaceutical industry experience strongly preferred.
- Experience enabling AI-ready data foundations, advanced analytics, and self-service reporting environments.
- Strong communication skills with the ability to engage both technical and business stakeholders.
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