Sr. Technical Architect- Data and Analytics (Pune/Gurgaon- On-site)
First seen by Alion on Oct 13, 2026.
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: [HIDDEN TEXT]
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 of Experience
Job Location: Pune/Gurgaon
Job Type: On-site
Job summary:
The Senior Technical Architect is a hands-on technical leadership role responsible for designing, implementing, and governing scalable data, analytics, and integration solutions across the Global Supply Chain and Quality domains. The position serves as both a Solution Architect and Data Architect, partnering with Product Managers, Product Owners, Data Engineers, Business Analysts, Domain Experts, and Enterprise Architecture teams to deliver enterprise-grade data products and analytics capabilities.
This is not a pure governance or review position. The successful candidate will actively contribute to solution design, data architecture, technical implementation guidance, data modeling, platform optimization, engineering enablement, and resolution of complex technical challenges across multiple initiatives.
Key Responsibilities:
Solution Architecture and Technical Leadership
- Lead end-to-end architecture design for complex data, analytics, and integration solutions.
- Drive technical Solutions that are appropriate to meet the business needs.
- Translate business requirements into scalable technical architectures and implementation roadmaps.
- Define reusable solution patterns, standards, and reference architectures for GSC and Quality data domains.
- Provide technical leadership across multiple product teams and initiatives.
- Conduct architecture reviews and promote alignment with enterprise standards.
- Identify opportunities for modernization, automation, self-service analytics, and AI/ML enablement.
Data Architecture
- Design conceptual, logical, and physical data models.
- Develop scalable and maintainable architectures for structured and semi-structured data.
- Define data integration patterns across SAP ECC, SAP S/4HANA, MES, AWS, Snowflake, dbt, Quality & Manufacturing Systems, and other enterprise platforms.
- Establish and reinforce data quality, lineage, metadata, security, and governance standards.
- Partner with domain architects and data engineers to optimize data pipelines and platform performance.
Hands-on Technical Delivery
- Collaborate directly with hands-on development with the engineering teams on solution implementation.
- Prepare report-out with evaluation results and recommendations
- Review and contribute to SQL, Python, dbt, ETL/ELT, and cloud-native solutions.
- Support troubleshooting of complex production issues and architectural roadblocks.
- Guide CI/CD, DevOps, release management, code quality, and technical documentation practices.
- Mentor engineers and promote engineering excellence and continuous improvement.
Cross-functional Collaboration
- Partner with stakeholders across Manufacturing, Supply Chain, Quality, Regulatory, and Operations.
- Facilitate technical design workshops and architecture discussions.
- Bridge communication between business teams and technical delivery teams.
- Support technical roadmaps, portfolio planning, estimation, and prioritization activities.
Required Technical Skills
Data and Analytics Architecture
- Data warehousing and analytics architecture
- Enterprise data modeling
- Data architecture governance
- Master Data Management concepts
- Data quality frameworks
- Metadata and data lineage management
Cloud and Modern Data Platforms
- Snowflake
- AWS data services
- Cloud-native data architecture
- Data lake and lakehouse architectures
- Data platform modernization
Data Engineering
- Advanced SQL
- Python
- dbt
- ETL/ELT design
- Data pipeline architecture
- Performance optimization and query tuning
Architecture and Delivery Practices
- API and integration design
- High-level and low-level solution design documentation
- Agile and SAFe delivery models
- Git-based development
- CI/CD pipelines
- Application and data security controls
Preferred / Nice-to-Have Technical Skills
- SAP ECC and/or SAP S/4HANA
- Palantir Foundry
- Microsoft Fabric
- Tableau and/or Power BI
- AI/ML solution architecture
- Streamlit
- Informatica
- Experience in medical device, life sciences, regulated manufacturing, or a comparable regulated industry
Required Experience:
- 10+ years of experience in Data and Analytics, Solution Architecture, Data Architecture, Data Engineering, or a related technical discipline.
- 5+ years serving as a lead architect, solution architect, data architect, or senior technical leader.
- Demonstrated success delivering enterprise-scale data, analytics, and integration solutions.
- Experience working with global, distributed teams across multiple geographies and time zones.
- Bachelor's degree in computer science, Software Engineering, Information Systems, Analytics, or a related technical field, or equivalent practical experience.
Capability: What Good Looks Like
Executive Communication
Communicates complex technical concepts clearly to business leaders, technical teams, and executive stakeholders. Produces concise, decision-oriented documentation and presentations.
Influence Without Authority
Builds alignment and drives architectural decisions across teams, vendors, and stakeholders in a matrixed operating model.
Problem Solving and Systems Thinking
Breaks down complex challenges, evaluates tradeoffs, identifies root causes, and designs pragmatic, scalable solutions.
Collaboration
Creates trusted partnerships across business, IT, engineering, architecture, and vendor teams.
Delivery Focus
Demonstrates urgency, ownership, accountability, and disciplined follow-through from design through implementation.
Technical Leadership
Mentors engineers, raises technical standards, and constructively challenges designs while enabling delivery.
Adaptability
Operates effectively across discovery, design, implementation, support, and governance activities in both structured and ambiguous environments.
Ideal Soft Skills
Ideal Candidate Profile
The ideal candidate is a highly technical, hands-on architect who can move seamlessly between architecture strategy and technical execution. They bring deep expertise in modern data platforms, cloud technologies, data engineering, and enterprise integrations, combined with strong business acumen. They are equally comfortable defining a future-state architecture, facilitating a design decision, reviewing SQL and dbt models, assessing data pipelines, and working directly with engineers to resolve delivery challenges.
This individual will serve as a trusted technical advisor to the GSC Data & Analytics and Quality Data Product Teams, helping shape and deliver enterprise data products that support Manufacturing, Supply Chain, Quality, Regulatory, and Operational Excellence priorities.