Technical Consultant – Data & AI

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Phoenix Software Limited

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1990

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Phoenix Software Limited is a technology company that specializes in providing comprehensive IT solutions and managed services. They offer a wide range of services including managed IT, cloud infrastructure, cybersecurity, data analytics, AI innovations, software licensing, and more. Phoenix Software is dedicated to empowering organizations to optimize their IT investments, enhance data security, foster collaboration, and implement sustainable IT practices to achieve their business objectives.

📋 Description

• Lead data consulting engagements from discovery through to implementation and handover. • Facilitate workshops to understand customer challenges and define appropriate data solutions. • Advise customers on enterprise data strategy, governance, data quality and data management best practices. • Design and implement data landing zones aligned with Microsoft Cloud Adoption Framework principles. • Deliver end-to-end data platform projects covering architecture, deployment, configuration and optimisation. • Work with Architects and AI specialists to support machine learning and AI initiatives. • Support the development of repeatable data and AI delivery frameworks and methodologies. • Act as a technical escalation point, supporting colleagues with complex technical challenges. • Stay current with developments across Microsoft data technologies, analytics and AI platforms. • Support resource planning and skills development activities across the wider practice. • Contribute to reusable assets, accelerators, frameworks and reference architectures. • Support pre-sales activities including discovery sessions, demonstrations, proposals and customer presentations. • Build trusted relationships with customers and provide guidance throughout the project lifecycle.

🎯 Requirements

• Strong data engineering, analytics or data platform experience. • Experience delivering customer-facing consultancy or professional services engagements. • Strong understanding of enterprise data architecture principles. • Experience designing and implementing data lakes, data warehouses and lakehouse architectures. • Good understanding of data governance, data quality and data management frameworks. • Strong SQL skills and experience using Python or PySpark. • Experience with Databricks and Microsoft data technologies. • Understanding of how modern data platforms support AI and machine learning workloads. • Strong workshop facilitation, communication and stakeholder management skills. • Excellent technical documentation and technical writing skills. • Strong analytical and problem-solving capabilities. • Commercial awareness and customer-focused mindset. • Ability to balance strategic consulting with hands-on technical delivery.