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

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

2. Data Engineering & Analytics Leadership

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

3. Enterprise Client Engagement

• Act as primary technical advisor to enterprise clients
• Work closely with client CTOs, data teams, and architects
• Conduct:
  • Technical workshops
  • Solution demonstrations
  • Architecture reviews
• Translate business requirements into scalable technical solutions

4. Product Thinking & Platform Evolution

• Contribute to product roadmap and feature prioritization
• Align platform capabilities with enterprise needs:
  • Data governance
  • Metadata management
  • Self-service analytics
• Drive reusable components and accelerators

5. Team Leadership & Delivery Management

• Lead and mentor data engineers, analysts, and developers
• Ensure delivery of enterprise-grade, production-ready systems
• Manage:
  • Project timelines
  • Technical risks
  • Quality standards
• Establish development and deployment best practices

6. Pre-Sales & Capability Demonstration

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

Required Skills & Experience

Technical Expertise

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

Architecture & Design

• Experience designing enterprise-scale data platforms
• Knowledge of:
  • Microservices architecture
  • Kubernetes / containerization
  • Distributed systems

Leadership & Client Management

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

Nice to Have

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

Experience

• 10+ years in data engineering / analytics / platform architecture
• 3–5 years in architecture or leadership role

Experience working with enterprise-scale datasets and systems