Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop data architecture, manage ETL processes, and ensure data security.
- 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 performance bonuses.
- Why this job: Be part of a collaborative culture that values diversity and offers meaningful work.
- Qualifications: 3+ years in data architecture, proficiency 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 36000 - 60000 £ 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:
-
3+ 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 (Mid-Level) employer: PA Consulting
Contact Detail:
PA Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (Mid-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 that showcase your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with cloud platforms like AWS, Azure, or Google Cloud. Consider discussing specific projects where you implemented cloud-based data solutions, as this is a key requirement for the role.
✨Tip Number 3
Demonstrate your understanding of ETL processes and tools by preparing examples of how you've developed or managed ETL workflows in previous roles. This practical knowledge will resonate well with the hiring team.
✨Tip Number 4
Since collaboration is crucial for this position, think of instances where you've successfully worked with cross-functional teams. Be ready to share these experiences during discussions to show your ability to communicate technical concepts effectively.
We think you need these skills to ace Data Architect (Mid-Level)
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience in data architecture, database design, and data engineering. Emphasize your familiarity with cloud technologies and big data tools, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data architecture and how your skills align with the company's mission of creating opportunities from complexity. Mention specific projects or experiences that demonstrate your problem-solving abilities and technical expertise.
Showcase Technical Skills: Clearly outline your proficiency in relevant programming languages (like SQL, Python, or Java) and data modeling techniques. Highlight any certifications you have in data management or cloud technologies, as these will strengthen your application.
Demonstrate Soft Skills: Don't forget to mention your soft skills, such as communication and collaboration. Provide examples of how you've worked with diverse teams or explained complex concepts to non-technical stakeholders, as this is important for the role.
How to prepare for a job interview at PA Consulting
✨Showcase Your Data Architecture Skills
Be prepared to discuss your experience in designing and developing data architectures. Highlight specific projects where you created, optimized, or maintained data models, and be ready to explain the impact of your work on the organization.
✨Demonstrate Knowledge of Cloud Technologies
Since the role involves selecting appropriate cloud platforms, make sure to familiarize yourself with AWS, Azure, and Google Cloud. Be ready to discuss your experience with these technologies and how you've utilized them in past projects.
✨Emphasize Collaboration and Communication Skills
This position requires working closely with various stakeholders. Prepare examples that showcase your ability to communicate complex technical concepts to non-technical audiences and how you’ve collaborated with teams to deliver scalable data solutions.
✨Prepare for Questions on Data Governance and Compliance
Understand the importance of data governance and compliance regulations like GDPR and HIPAA. Be ready to discuss how you've implemented data quality controls and security measures in your previous roles.
