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Netwin- Product Specialist / Principal Data Architect - Data Intelligence Platform
NextHire Consulting
Netwin- Product Specialist / Principal Data Architect - Data Intelligence Platform
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Lead design and delivery of enterprise-scale data intelligence platforms: architect ingestion, storage, processing, governance and security; guide data engineering teams; engage enterprise clients; shape product roadmap; support pre-sales with demos and POCs; ensure production-ready, high-performance, governed systems.
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
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