Senior Data Architect: DataOps, Cloud Analytics & Leadership

BJSS; Nottingham; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading tech consultancy in Nottingham seeks a Technical Authority to lead delivery teams and drive business value through excellence in data solutions. You will interface with clients, mentor staff, and ensure adherence to high standards. The ideal candidate has extensive experience with data platforms, cloud services like AWS and Azure, and a passion for technology. This role offers flexibility and a strong focus on professional development, supporting your ambition to excel in the data ecosystem.

Benefits

Flexible benefits allowance

Industry leading health and wellbeing plan

Life Assurance

25 days annual leave plus bank holidays

Hybrid working

Discounts from retail brands

Referral scheme with no limits

Flexible holiday buy/sell option

Electric vehicle scheme

Training opportunities

Social activities and events

GymFlex membership programme

Qualifications

• Passion for technology and data with a focus on delivering solutions.
• Experience in data ecosystems and various data platforms.
• Knowledge of the full product lifecycle from discovery to delivery.

Responsibilities

• Interface directly with clients as a technical authority.
• Lead delivery teams and mentor others.
• Ensure quality and drive value in solutions.

Skills

DataOps culture

Agile methodologies

Data platforms

C-Level stakeholder engagement

Cloud services (AWS, Azure)

Data modelling

Security and privacy

Job description

A leading tech consultancy in Nottingham seeks a Technical Authority to lead delivery teams and drive business value through excellence in data solutions. You will interface with clients, mentor staff, and ensure adherence to high standards. The ideal candidate has extensive experience with data platforms, cloud services like AWS and Azure, and a passion for technology. This role offers flexibility and a strong focus on professional development, supporting your ambition to excel in the data ecosystem.