Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop data architecture while ensuring data security and compliance.
- Company: Join a diverse team of over 4,000 experts driving innovation across various industries.
- Benefits: Enjoy health perks, 25 days leave, a generous pension scheme, and community involvement opportunities.
- Why this job: Be part of a collaborative culture that values diversity and offers meaningful work.
- Qualifications: 1-2+ years in data architecture; skills in SQL, Python, and cloud technologies required.
- Other info: Hybrid working model with at least two office days per week.
The predicted salary is between 28800 - 42000 £ per year.
Company Description
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
PA. Bringing Ingenuity to Life.
Job Description
Key Responsibilities:
- Design and Develop Data Architecture: Create, optimise, and maintain conceptual, logical, and physical data models to support the enterprise data strategy.
- Data Strategy and Governance: Define and implement data management strategies, including data governance, metadata management, and data quality controls.
- Database and Cloud Technologies: Select appropriate database solutions (SQL, NoSQL, Data Lakes) and cloud platforms (AWS, Azure, Google Cloud) to support the organisation’s data infrastructure.
- Data Integration: Develop and manage ETL (Extract, Transform, Load) processes to ensure data from multiple sources is properly integrated into centralized systems.
- Collaboration and Communication: Work closely with business stakeholders, data analysts, data engineers, and clients to understand requirements and deliver scalable data solutions.
- Security and Compliance: Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, HIPAA) by implementing data encryption and anonymisation techniques.
- Documentation: Creation of detailed documentation of data architecture, flows, and processes for ongoing improvement and knowledge sharing.
Qualifications
Required Qualifications:
Experience:
- 1-2+ 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.
- Experience with cloud-based data solutions (AWS, Azure, GCP).
- Familiarity with big data technologies like Hadoop, Spark, and Kafka.
Technical Skills:
- Proficiency in data modelling (ERD, normalization) and data warehousing concepts.
- Strong understanding of ETL frameworks and tools (e.g., Talend, Informatica, Apache NiFi).
- Knowledge of programming languages such as SQL, Python, or Java.
- Experience with BI tools (e.g., Power BI, Tableau) and data visualisation best practices.
Soft Skills:
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to explain technical concepts to non-technical stakeholders.
- Ability to work in a fast-paced, collaborative environment.
Preferred Qualifications:
- Familiarity with Agile/Scrum methodologies.
- Certifications in data management (e.g., CDMP, AWS Certified Data Analytics, Google Cloud Data Engineer).
Additional Information
Life At PA encompasses our peoples’ experience at PA. It’s about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.
Check out some of our extensive benefits:
- Health and lifestyle perks accompanying private healthcare for you and your family
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
- Generous company pension scheme
- Opportunity to get involved with community and charity-based initiatives
- Annual performance-based bonus
- PA share ownership
- Tax efficient benefits (cycle to work, give as you earn)
#J-18808-Ljbffr
Data Architect (Junior Level) employer: PA Consulting
Contact Detail:
PA Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (Junior Level)
✨Tip Number 1
Familiarize yourself with the specific database management systems mentioned in the job description, such as Oracle, SQL Server, and PostgreSQL. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Since the role emphasizes cloud technologies like AWS, Azure, and Google Cloud, consider working on personal projects that utilize these platforms. This practical experience will not only enhance your resume but also give you real-world examples to discuss during interviews.
✨Tip Number 3
Develop a solid understanding of ETL processes and tools such as Talend or Apache NiFi. Being able to demonstrate your knowledge in data integration techniques will show that you are well-prepared for the responsibilities of the role.
✨Tip Number 4
Highlight any experience you have with Agile/Scrum methodologies, as this is preferred for the position. If you haven't worked in an Agile environment yet, consider taking a course or participating in a project that uses these methodologies to gain relevant experience.
We think you need these skills to ace Data Architect (Junior Level)
Some tips for your application 🫡
Understand the Company Culture: Before applying, take some time to understand the company's values and culture. PA emphasizes diversity and ingenuity, so reflect this understanding in your application.
Highlight Relevant Experience: Make sure to showcase your experience in data architecture, database design, or data engineering roles. Mention specific projects or technologies you've worked with that align with the job description.
Demonstrate Technical Skills: Clearly outline your proficiency in relevant technical skills such as SQL, Python, and data modeling. Provide examples of how you've applied these skills in previous roles.
Tailor Your Application: Customize your CV and cover letter to reflect the key responsibilities and qualifications mentioned in the job description. Use keywords from the listing to ensure your application stands out.
How to prepare for a job interview at PA Consulting
✨Showcase Your Data Architecture Skills
Be prepared to discuss your experience with data architecture, database design, and data engineering. Highlight specific projects where you created or optimized data models, and be ready to explain your thought process and the technologies you used.
✨Demonstrate Your Technical Proficiency
Familiarize yourself with the key technical skills mentioned in the job description, such as SQL, Python, and cloud platforms like AWS or Azure. Be ready to answer technical questions or even solve problems on the spot to showcase your expertise.
✨Communicate Effectively
Since strong communication skills are essential, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated with non-technical stakeholders to ensure they understood your ideas.
✨Emphasize Collaboration Experience
Prepare to discuss your experience working in collaborative environments. Share examples of how you've worked with business stakeholders, data analysts, and engineers to deliver scalable data solutions, highlighting your teamwork and problem-solving abilities.
