Data Architect

ZipRecruiter; Nottingham; On-site; GBP 62,000 - 70,000; Full time

Job summary

An innovative firm is seeking a skilled Data Architect to spearhead data architecture initiatives. In this pivotal role, you will lead the design and implementation of data solutions, ensuring data integrity and security while collaborating with diverse teams. The position offers a competitive salary and a supportive environment for professional growth. This is a fantastic opportunity for a technical expert eager to make a significant impact in a market-leading organization. Join a forward-thinking team and contribute to the evolution of data strategies that drive success and innovation.

Qualifications

• Proven experience as a Data Architect or similar role.
• Strong knowledge of data modeling, data warehousing, and ETL processes.

Responsibilities

• Lead the design and implementation of data architecture solutions.
• Collaborate with cross-functional teams to ensure data integrity and security.

Skills

Data Modeling

Data Warehousing

ETL Processes

Problem-Solving

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Cloud-Based Data Solutions

Job description

Job DescriptionData Architect Central Nottingham / Hybrid
£62,000 - £70,000 + bonus, 35-hour work week and great benefits

This market-leading and growing business has created a brand-new Data Architect position that would suit a technical expert who can take the lead for all things data architecture, offering suggestions for investment and implementing new tech. You will be ambitious and open to expanding and enhancing data solutions.

Responsibilities:

1. Lead the design and implementation of data architecture solutions.
2. Evaluate and recommend new data technologies.
3. Collaborate with cross-functional teams to ensure data integrity and security.
4. Develop data models and maintain documentation.

Qualifications:

1. Proven experience as a Data Architect or similar role.
2. Strong knowledge of data modeling, data warehousing, and ETL processes.
3. Experience with cloud-based data solutions.
4. Excellent problem-solving and communication skills.