Technical Consultant - Data & AI
Phoenixs Software
What will you be doing?- 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.
What are we looking for?
- 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.
Experience & Qualifications
- Experience in data engineering , analytics, data platform delivery or similar roles.
- Strong hands-on experience with Databricks .
- Experience with Microsoft Fabric , Azure Synapse Analytics , Azure Data Factory , Power BI or similar technologies.
- Familiarity with Microsoft Cloud Adoption Framework (CAF) and landing zone design.
- Experience deploying and troubleshooting enterprise data platforms.
- Understanding of Azure infrastructure fundamentals , including networking, identity and security.
- Experience leading customer workshops, discovery engagements and advisory sessions.
- Consultancy or professional services background strongly preferred.
- Public sector experience desirable.
Certifications:
- Databricks certifications desirable.
- Microsoft certifications such as DP-203 , DP-700 or related data certifications desirable.
- Azure AI and Machine Learning certifications advantageous.
Security Clearance:
- Must hold SC (Security Check) clearance or be eligible and willing to obtain and maintain SC clearance.
- Candidates already holding active SC clearance will be highly advantageous.
Practical stuff
Where is the role based?
Primary location is our HQ in Pocklington (YO42).
What about hybrid/remote working?
Hybrid working is supported, with flexibility depending on customer and project requirements.
How many interviews?
Following a screen with the Recruitment Team, you can expect a two-stage interview process — one online and one in-person.
Important BPSS Check
As part of our recruitment process and due to the nature of the work we do, all employees are required to undertake a BPSS check. While some employees may require further security clearance, the BPSS check is mandatory and all offers of employment are conditional upon successful completion.
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