Product Specialist / Principal Data Architect

As a highly experienced Product Specialist / Technical Architect, you will lead the design, development, and delivery of the Data Intelligence Platform for large enterprise clients. Your role will require a blend of deep technical expertise, product thinking, and client-facing leadership to drive scalable, enterprise-grade data solutions. Key Responsibilities: - 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 the platform supports large-scale enterprise data workloads - Data Engineering & Analytics Leadership: - Guide teams in building robust pipelines for big data processing and analytics - Oversee implementation using a 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 - Enterprise Client Engagement: - Act as the primary technical advisor to enterprise clients - Work closely with client CTOs, data teams, and architects - Conduct technical workshops, solution demonstrations, and architecture reviews - Translate business requirements into scalable technical solutions - Product Thinking & Platform Evolution: - Contribute to the product roadmap and feature prioritization - Align platform capabilities with enterprise needs such as data governance, metadata management, and self-service analytics - Drive reusable components and accelerators for the platform - Team Leadership & Delivery Management: - Lead and mentor data engineers, analysts, and developers - Ensure the delivery of enterprise-grade, production-ready systems - Manage project timelines, technical risks, and quality standards - Establish development and deployment best practices - 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 Qualification Required: - Technical Expertise: - Strong experience in Big Data technologies (Spark, Hadoop ecosystem), Data Warehousing (Snowflake, Redshift, BigQuery, etc.), and Streaming platforms (Kafka, Flink) - Hands-on experience with Cloud platforms (AWS, Azure, GCP) and Data Lake / Lakehouse architectures - Good understanding of Data governance tools (e.g., Apache Atlas, Ranger), Metadata management & lineage, Security & compliance, and Architecture & Design - 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 This role requires 10+ years of experience in data engineering / analytics / platform architecture, with 35 years in an architecture or leadership role and experience working with enterprise-scale datasets and systems. As a highly experienced Product Specialist / Technical Architect, you will lead the design, development, and delivery of the Data Intelligence Platform for large enterprise clients. Your role will require a blend of deep technical expertise, product thinking, and client-facing leadership to drive scalable, enterprise-grade data solutions. Key Responsibilities: - 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 the platform supports large-scale enterprise data workloads - Data Engineering & Analytics Leadership: - Guide teams in building robust pipelines for big data processing and analytics - Oversee implementation using a 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 - Enterprise Client Engagement: - Act as the primary technical advisor to enterprise clients - Work closely with client CTOs, data teams, and architects - Conduct technical workshops, solution demonstrations, and architecture reviews - Translate business requirements into scalable technical solutions - Product Thinking & Platform Evolution: - Contribute to the product road