Data Architect / Consultant

— Remote

— Part-time

Intelvision is looking for a skilled Data Architect / Consultant.

Project description: We are looking for an experienced Data Architect / Consultant to help us bring structure to a growing and fragmented data landscape and build the foundation for future data and AI initiatives. The person will work closely with the client and technical team to understand existing data sources and processes, identify data quality and architecture gaps, and provide practical recommendations on how to build a scalable data platform.

Responsibilities:

— Analyse the current data landscape, sources, flows, and infrastructure;

— Review how data is currently collected, stored, transformed, and consumed across systems;

— Identify data quality issues, gaps, duplication, and inconsistencies and recommend ways to improve them;

— Help define an approach for transforming unstructured data into structured, usable data;

— Review the current database/data platform approach and recommend an appropriate scalable architecture for current and future use cases;

— Design/contribute to data models, schemas, data flows, pipelines, and architecture principles;

— Support the development of AI bot solutions, including data preparation, consolidation, prioritization, and actionable insights;

— Document findings, recommendations, architecture decisions, and proposed next steps;

— Work together with the existing development/AI team and provide guidance rather than necessarily implementing everything independently;

Requirements:

— Strong experience in Data Architecture / Data Engineering / Data Analytics;

— Experience designing or improving data platforms and data architectures;

— Strong understanding of data modelling, data integration, data pipelines, and data quality;

— Ability to analyse an existing environment and identify the root cause of data problems; experience with structured and unstructured data;

— Understanding of how data can be prepared and structured for AI/ML and RAG-based solutions;

— Experience with cloud data platforms, preferably Microsoft Azure;

— Ability to evaluate different technologies and recommend the right solution based on the use case;

— Strong analytical and problem-solving mindset;

— Tech stack: Azure, SQL/MySQL, Cosmos DB, Data Pipelines, Data Modelling, AI/LLM/RAG, Python, .NET/C# (nice to have);

— Strong communication and consulting skills;

Would be a plus:

— Experience with Azure, Cosmos DB, MySQL, HubSpot or similar CRM platforms;

— Experience with customer analytics, CRM data, customer interactions, or behavioural data;

— Experience processing emails, call transcripts, documents, or other unstructured data;

— Experience supporting AI products where data quality is a key dependency;

— Experience with data governance, privacy, anonymization, and GDPR-related data architecture;

What we offer:

— Remote-first work environment;

— Flexible part-time opportunity (10 hours/week) that can be combined with a main job;

— A challenging data/AI project where you can shape the data architecture, improve data quality and influence how data is used across the business.

— Direct impact, interesting technical challenges, and potential to increase the allocation in the future.

— Supportive, performance-driven team culture;

— Stable long-term project and modern technology stack;

— Ability to select currency for your contract.

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