Netwin- Product Specialist / Principal Data Architect - Data Intelligence Platform

Job Title: Product Specialist / Principal Data Architect – Data Intelligence Platform

Role Overview

We are looking for a highly experienced Product Specialist / Technical Architect to lead the design, development, and delivery of our Data Intelligence Platform for large enterprise clients. This role requires a blend of deep technical expertise, product thinking, and client-facing leadership to drive scalable, enterprise-grade data solutions.

Key Responsibilities

1. Solution Architecture & Platform Design

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• Design and architect scalable, secure, and high-performance data intelligence platforms
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• Define architecture across:\n
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  • Data ingestion (batch & real-time)
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  • Data storage (data lakes, warehouses)
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  • Data processing (ETL/ELT pipelines)
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  • Data governance and security
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• Ensure platform supports large-scale enterprise data workloads
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2. Data Engineering & Analytics Leadership

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• Guide teams in building robust pipelines for big data processing and analytics
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• Oversee implementation using modern stack (e.g., Spark, Kafka, distributed systems)
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• Drive best practices in:\n
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  • Data modeling
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  • Data quality
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  • Performance optimization
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• Enable advanced analytics, BI, and AI/ML integrations
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3. Enterprise Client Engagement

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• Act as primary technical advisor to enterprise clients
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• Work closely with client CTOs, data teams, and architects
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• Conduct:\n
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  • Technical workshops
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  • Solution demonstrations
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  • Architecture reviews
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• Translate business requirements into scalable technical solutions
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4. Product Thinking & Platform Evolution

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• Contribute to product roadmap and feature prioritization
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• Align platform capabilities with enterprise needs:\n
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  • Data governance
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  • Metadata management
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  • Self-service analytics
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• Drive reusable components and accelerators
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5. Team Leadership & Delivery Management

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• Lead and mentor data engineers, analysts, and developers
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• Ensure delivery of enterprise-grade, production-ready systems
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• Manage:\n
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  • Project timelines
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  • Technical risks
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  • Quality standards
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• Establish development and deployment best practices
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6. Pre-Sales & Capability Demonstration

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• Support sales and business teams in solutioning and proposals
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• Demonstrate platform capabilities to prospective clients
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• Create POCs, demos, and technical presentations
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• Position the company as a trusted data intelligence partner
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Required Skills & Experience

Technical Expertise

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• Strong experience in:\n
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  • Big Data technologies (Spark, Hadoop ecosystem)
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  • Data Warehousing (Snowflake, Redshift, BigQuery, etc.)
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  • Streaming platforms (Kafka, Flink)
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• Hands-on with:\n
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  • Cloud platforms (AWS, Azure, GCP)
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  • Data Lake / Lakehouse architectures
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• Good understanding of:\n
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  • Data governance tools (e.g., Apache Atlas, Ranger)
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  • Metadata management & lineage
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  • Security & compliance
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Architecture & Design

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• Experience designing enterprise-scale data platforms
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• Knowledge of:\n
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  • Microservices architecture
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  • Kubernetes / containerization
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  • Distributed systems
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Leadership & Client Management

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• Proven experience working with large enterprise clients
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• Strong stakeholder management and communication skills
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• Ability to manage cross-functional teams
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Nice to Have

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• Experience with AI/ML integration in data platforms
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• Exposure to Agentic AI / AI-driven data workflows
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• Prior experience building or scaling a data platform product
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Experience

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• 10+ years in data engineering / analytics / platform architecture
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• 3–5 years in architecture or leadership role
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Experience working with enterprise-scale datasets and systems