Data Platform Architect – Data & AI Practice - Remote - FS463
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 12d ago
The date the source published, not the day we noticed it (2026-10-21). Last seen at its source 6h ago.
We have tracked this listing since 21 Oct 2026 (11 days). The employer's own board has carried it every time we have read it, most recently 6 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $50k–90k/yr
Middle 50% of 21 listings that do state pay — Engineering · all levels · India · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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BambooHR employer's own board first seen 11d ago · last seen 6h ago
The listing
Profile: Senior hands-on architect who can design solutions, explain architectural choices, build prototypes, and guide teams through implementation.
Role Overview
We are looking for a hands-on Data Platform Architect to help establish and scale our Data & AI Practice. The role combines modern cloud data architecture, technical solutioning, client advisory, and engineering leadership to deliver enterprise data modernization and AI-ready platforms.
Key Responsibilities
- Customer Obsession: Work backwards from customer and end-user needs to design solutions that deliver measurable business value. Build trusted advisory relationships with customers, guiding technology decisions and long-term architecture strategy.
- Platform Architecture: Design scalable, cloud-native data platforms covering ingestion, integration, lakehouse/warehouse, processing, governance, analytics, and AI enablement.
- AI-Ready Architecture: Design data integration patterns supporting enterprise AI, including RAG, LLM integration, agentic workflows, and MCP-based connectivity.
- Hands-on Solutioning: Lead technical discovery, architecture workshops, POCs/MVPs, and guide engineering teams through implementation.
- Modernization: Architect migration and integration of legacy enterprise data into modern cloud platforms, incorporating MDM, Data Quality, and Governance.
- Practice Development: Build reusable reference architectures, accelerators, and implementation patterns, and contribute to technology partnerships and client proposals.
Required Expertise & Experience
- Strong hands-on experience architecting and implementing enterprise data platforms on AWS, with a 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 platforms is expected.
- 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 leading platforms such as 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.
- North American Customer Experience: 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.
Apply Today: freschesolutions.com/careers/
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