Data Platform Architect – Data & AI Practice

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fresche Solutions

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

💰 Debt Financing on 2018-05

Consulting

Fresche Solutions is an IT consulting and development company specializing in strategy, design, development, modernization, and transformation of business-critical systems. The company focuses on bridging the gap between legacy systems and modern technology, offering services like application design, modernization, and managed services. Fresche has collaborated with notable clients such as Adidas and Volvo, helping them enhance their digital capabilities and competitiveness in the evolving digital landscape.

📋 Description

• Help establish and scale the Data & AI Practice • Work backwards from customer and end-user needs to design solutions delivering measurable business value • Build trusted advisory relationships with customers and guide technology decisions and long-term architecture strategy • Design scalable, cloud-native data platforms covering ingestion, integration, lakehouse/warehouse, processing, governance, analytics, and AI enablement • Design data integration patterns supporting enterprise AI, including RAG, LLM integration, agentic workflows, and MCP-based connectivity • Lead technical discovery, architecture workshops, POCs/MVPs, and guide engineering teams through implementation • Architect migration and integration of legacy enterprise data into modern cloud platforms, incorporating MDM, Data Quality, and Governance • Build reusable reference architectures, accelerators, and implementation patterns • Contribute to technology partnerships and client proposals

🎯 Requirements

• Senior hands-on architect able to design solutions, explain architectural choices, build prototypes, and guide teams through implementation • Strong hands-on experience architecting and implementing enterprise data platforms on AWS • Solid understanding of Azure and GCP architectures, comparative strengths, trade-offs, and evolving technology roadmaps • Deep expertise in Databricks and Snowflake, including lakehouse architecture, data engineering, pipelines, integration patterns, and native AI capabilities • Strong architectural familiarity with both Databricks and Snowflake • Working knowledge of GenAI architectures, including RAG, LLM integration, agentic AI, and MCP • Strong understanding of enterprise data management, including MDM, Data Quality, Governance, security, and production operations • Familiarity with Reltio, Informatica, Collibra, and Alation, including their integration into enterprise data architectures • Ability to translate business requirements into architecture, develop working prototypes, and provide technical leadership during delivery • Minimum 5 years of direct engagement with North American customers, including technical discovery, architecture discussions, solution advisory, and stakeholder management • Strong client-facing communication, solution architecture, and technical thought-leadership skills • Preferred: Experience in enterprise modernization programs, AI-ready data platforms, and consulting or practice-building environments

🏖️ Benefits

• Permanent employment • Remote work arrangement