Principal Technical Architect

Mareana; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Mareana is hiring a hands-on Principal Technical Architect to own the architecture of a data-intensive, multi-tenant enterprise SaaS platform. The platform ingests high volumes of data from multiple sources, transforms and governs it through data pipelines, and exposes capabilities via APIs, workflows, and analytics — increasingly powered by AI and Agentic systems.

The ideal candidate brings 15+ years designing enterprise software, deep expertise in distributed systems and cloud-native

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• 15+ years designing and building enterprise software with hands-on experience.
• Experience architecting multi-tenant, data-intensive enterprise SaaS platforms.
• Deep expertise in distributed systems and cloud-native architecture.
• Practical experience embedding AI/GenAI capabilities into production apps.

Responsibilities

• Own end-to-end technical architecture for a data-intensive SaaS platform.
• Define boundaries between layers and establish reusable architectural patterns.
• Design for high availability, scalability, security, and performance.
• Architect data ingestion, transformation, and consumption across sources.
• Lead architecture reviews and mentor senior engineers through influence.

Skills

Distributed systems

Multi-tenant SaaS

Data pipelines

Cloud-native architecture

AI/GenAI capabilities

APIs & microservices

Hands-on architecture

Technical leadership

Education

Bachelor's or Master's in CS/Engineering

Tools

AWS

Azure

GCP

Databricks

Spark

Kafka

Job description

Mareana Software India Private Limited | Full time

• Industry Pharma/Biotech/Clinical Research
• Job Type Full time
• Work Experience 5+ years
• Country India

About Us

Founded in 2015, Mareana is an AI-powered software company with the mission of accelerating digital transformation in manufacturing, supply chain, and sustainability via our connected intelligence platform.

Mareana’s platform uses AI/ML to connect disparate rapidly, siloed data across the entire business process, allowing our customers to shift their time and effort from data preparation to making complex business decisions intuitively, in real time.

Our customers are market leaders in life sciences, chemicals, and general manufacturing who have realized over a billion dollars in business value by leveraging our platform. Our ethos of continuous innovation has been recognized by Gartner, who named us a “Cool Vendor in AI”. We have also been featured as a thought leader in Silicon Review and Manufacturing Insights magazine.

Job Description

We'relooking for a hands-on Principal Technical Architect to own the architecture of a data-intensive, multi-tenant enterprise SaaS platform. The platform ingests high volumes of data from multiple enterprise systems, transforms and governs it through data pipelines, and exposes it through configurable application capabilities, workflows, APIs, and analytics — increasingly powered by AI and Agentic systems.

The ideal candidate will have strong hands-onexpertisein enterprise application architecture, distributed systems, multi-tenant SaaS, large-scale data platforms, data pipelines, configuration-driven applications, and analytical applications.

This role is not a people-management position. We are looking for a hands-on technology leader who can personally drive architecture, solve complex technical problems, make critical design decisions, and influence engineering teams through technical depth and leadership.

KeyResponsibilities(What You'll Do)

• Own end-to-end technical architecture: application services, APIs, workflows, integration, and analytical capabilities.
• Define clear boundaries between application, data, integration, and platform layers;establishreusable architectural patterns across product modules.
• Design for high availability, scalability, security, performance, and maintainability; modernise the architecture as the product and customer base scale.
• Architect ingestion, transformation, and consumption of large data volumes from multiple enterprise source systems — batch, near-real-time, event-driven, and CDC.
• Define data lake /lakehouse/ warehouse and operational data storestrategies;own data quality, lineage, metadata, governance, partitioning, and retention.
• Build scalable, observable data pipelines (Spark, Databricks, Kafka, cloud-native data services) that scale independently of application workloads and areoptimisedfor performance and cloud cost.
• Design tenant isolation strategies across application, data, compute, storage, and security layers.
• Define tenant-aware configuration, quotas, resource management, onboarding, provisioning, and lifecycle management.
• Architect for horizontal scalability with predictable per-tenant performance and cost.
• Design metadata- and configuration-driven frameworks for business rules, workflows, data mappings, UI behaviour, and analytics.
• Define configuration versioning, validation, and dependencymanagementso the platform evolves without heavy custom development.
• Keep configuration-heavy architecture maintainable and performant as customers and configurations grow.

Analytical, AI & Agentic Architecture:

• Architect analytical capabilities — dashboards, KPIs, self-service reporting — using pre-computation, caching, semantic layers, or direct query asappropriate, withoutimpactingtransactional performance.
• Design and embed AI/ML andGenAIcapabilities into the platform: LLM integration, RAG pipelines, prompt and context engineering, vector stores, and model serving.
• Architect Agentic systems — multi-step autonomous/semi-autonomous agents, tool-use and function-calling frameworks, agent orchestration, memory, and guardrails — for workflow automation and intelligent decisioning.
• Evaluate and integrate emerging AI/Agentic frameworks (e.g.,LangChain,LangGraph, Semantic Kernel, MCP) where they add measurable product value.
• Design cloud-native, micro services and event-driven systems with fault tolerance, retries, circuit breakers, idempotency, and graceful degradation.
• Lead architecture and design reviews for major initiatives;establisharchitecture principles, standards, and reference patterns.
• Partner closely with Product Management, Engineering, Data Engineering, DevOps, Security, and QA; mentor senior engineers through technical influence, not direct management.
• Drive technology evaluations and proof-of-concepts,including forAI and Agentic tooling.

Requirements

• 15+ years designing and building enterprise software, with a Bachelor's orMaster's degree in Computer Science, Engineering, or a related field.
• Proventrack recordas a genuinely hands-on Software/Solution Architect or Principal Engineer — someone who still prototypes, reviews code, and gets into implementation detail, not just diagrams and documents.
• Experience architecting and scaling multi-tenant, data-intensive enterprise SaaS platforms for global customers.
• Deepexpertisein distributed systems and cloud-native architecture (AWS, Azure, or GCP).
• Extensive experience with data pipelines, data engineering architectures, and strong SQL/database architecture skills.
• Experience designing platforms that combine transactional, operational, and analytical workloads.
• Practical, hands-on experience building or architecting AI/ML,GenAI, or Agentic capabilities into production enterprise applications.
• Experience with configuration- or metadata-driven enterprise applications.
• Strong understanding of APIs, micro services, and event-driven integration.

Nice to Have

• Domain experience in manufacturing, supply chain, healthcare, pharma, or life sciences.
• Experience integrating data from ERP, MES, LIMS, CRM, or similar enterprise systems.
• Data governance and enterprise data management experience.
• Exposure to SOC 2, ISO 27001,GxP, or similar compliance environments.
• Experience working with graph databases (Neo4j or equivalent) and building data semantic layers .