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- Tasks: Design and implement cutting-edge data architecture solutions for diverse systems.
- Company: Join a forward-thinking organisation focused on data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data management and make a real impact in the tech world.
- Qualifications: Bachelor's degree in STEM and strong SQL skills required.
- Other info: Collaborative environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The Data Architect is responsible for designing, creating, deploying, and managing an organization’s data architecture. This role ensures that data across systems is accurate, accessible, secure, and supports business objectives. As a Data Architect, you will have extensive experience in the development of data-intensive systems. This should include working with customers to derive requirements and design solutions to meet their needs. The successful applicant will be expected to have seen a project through from inception to delivery.
To succeed in this position you will need to be proactive, tirelessly collaborate with IT teams, data engineers, system engineers, and stakeholders to define data models, data flow processes, and governance frameworks.
SKILLS AND KNOWLEDGE REQUIRED
- Bachelor’s degree in STEM, Computer Science, Information Systems, Data Science, or related field (Master’s preferred).
- Strong proficiency in SQL and database technologies (e.g., Oracle, SQL Server, PostgreSQL, MySQL).
- Knowledge of data warehouse and lakehouse architectures.
- Familiarity with ETL/ELT and orchestration tools (e.g., Informatica, Talend, Apache Airflow).
- Experience establishing and maintaining data governance frameworks.
- Experience complying with data security requirements.
- Excellent problem-solving, communication, and documentation skills.
- Familiarity with AI/ML data pipelines and analytics platforms.
Preferred Qualifications
- Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud).
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
- Experience with UML/SYSML.
- Strong understanding of API integration and microservices data flow.
TASKS REQUIRED
- Design and implement enterprise-level data architecture solutions, including databases, data warehouses, and data lakes.
- Develop and maintain logical, physical, and conceptual data models.
- Define data management standards, policies, and best practices.
- Work with data engineers to design and optimize ETL/ELT pipelines for structured and unstructured data.
- Ensure data quality, consistency, and security across platforms.
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
- Evaluate and recommend new data technologies, tools, and platforms to enhance data capabilities.
- Oversee data integration across cloud and on-premises environments.
- Support data governance initiatives, including metadata management, master data management (MDM), and compliance.
- Provide technical leadership and mentorship to data engineering and analytics teams.
Data Architect ( SC Cleared) employer: LHH
Contact Detail:
LHH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect ( SC Cleared)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and join online forums. The more people you know, the better your chances of hearing about job openings before they even hit the market.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your experience with data architecture and governance. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your past projects and how you tackled challenges. Confidence is key, so make sure you can articulate your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Architects like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Architect ( SC Cleared)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data architecture, SQL, and any relevant technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your ability to design and implement data solutions. We love seeing how you've taken a project from inception to delivery, so don't hold back on the details!
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at LHH
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles of data architecture. Brush up on your knowledge of data models, ETL processes, and governance frameworks. Be ready to discuss how you've designed and implemented solutions in past projects, as this will show your hands-on experience.
✨Showcase Your Collaboration Skills
As a Data Architect, you'll need to work closely with IT teams and stakeholders. Prepare examples of how you've successfully collaborated in previous roles. Highlight any specific instances where your teamwork led to improved data solutions or project outcomes.
✨Demonstrate Problem-Solving Prowess
Expect to face scenario-based questions that test your problem-solving abilities. Think of challenges you've encountered in data architecture and how you overcame them. This will help interviewers see your analytical skills in action.
✨Stay Updated on Data Technologies
Familiarise yourself with the latest trends and tools in data architecture, especially cloud platforms and big data technologies. Being able to discuss recent advancements or tools like AWS, Azure, or Hadoop will show your commitment to staying current in the field.
