Data Architect (Senior/Principal Level)

£10,000 – £90,000

Location: United Kingdom (London – London) Type: Permanent

Job Title: Senior/Principal Data Architect
Location: London (Hybrid)
Salary: Up to £100,000 (dependent on experience)

We are seeking an experienced and innovative Senior/Principal Data Architect to join our dynamic team in London. This is an exciting opportunity to play a critical role in shaping the data architecture strategy for an organisation that embraces ingenuity to drive transformation and deliver enduring results for its clients.

As a Senior/Principal Data Architect, you will be responsible for designing and developing scalable data solutions, optimizing data architecture, and ensuring seamless data integration across the enterprise. You will work closely with cross-functional teams and business stakeholders to create and implement data strategies that drive data governance, security, and quality.

Key Responsibilities:

• Design and Develop Data Architecture: Create, optimise, and maintain data models (conceptual, logical, and physical) to support the enterprise data strategy.
• Data Strategy and Governance: Lead the development and implementation of data management strategies, including data governance, metadata management, and data quality controls.
• Database and Cloud Technologies: Select and implement the best-fit database solutions (SQL, NoSQL, Data Lakes) and cloud platforms (AWS, Azure, Google Cloud).
• Data Integration: Oversee the development and management of ETL (Extract, Transform, Load) processes for integrating data from multiple sources into centralized systems.
• Collaboration and Communication: Partner with business stakeholders, data analysts, data engineers, and clients to deliver scalable data solutions that meet business needs.
• Security and Compliance: Ensure data privacy, security, and compliance with relevant regulations (e.g., GDPR, HIPAA) by implementing appropriate security measures.
• Documentation: Create detailed documentation of data architecture, processes, and flows to support ongoing improvements and knowledge sharing.

Required Qualifications:

• 5+ years of experience in data architecture, database design, or data engineering roles.
• Proven experience with database management systems (e.g., Oracle, SQL Server, PostgreSQL) and data warehousing technologies.
• Hands-on experience with cloud-based data solutions (AWS, Azure, Google Cloud).
• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
• Proficiency in data modelling (ERD, normalization) and data warehousing concepts.
• Strong knowledge of ETL frameworks and tools (e.g., Talend, Informatica, Apache NiFi).
• Proficient in programming languages like SQL, Python, or Java.
• Experience with BI tools (e.g., Power BI, Tableau) and best practices for data visualisation.

Desirable Skills:

• Experience with Agile/Scrum methodologies.
• Certifications in data management (e.g., CDMP, AWS Certified Data Analytics, Google Cloud Data Engineer).

If interested, please reach out to Sarah McMahon at for more information.

AMC/SMM/SDA

Reference: AMC/SMM/SDA