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- Tasks: Drive data infrastructure and optimise databases for high-quality analytics.
- Company: Dynamic tech company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a fast-paced, team-oriented culture with excellent career advancement opportunities.
- Why this job: Make a real impact by building scalable data systems that power advanced analytics.
- Qualifications: 5+ years in database engineering with strong SQL and Python skills.
The predicted salary is between 70000 - 110000 £ per year.
As a Senior Database Engineer, you will drive data infrastructure that enables data-informed decision-making, applying modern engineering and distributed systems practices. You will partner closely with Product Managers, Data Analysts, Software Engineers, and business stakeholders to deliver stable, high-quality data pipelines, enterprise reporting, and datasets that support analytics and machine learning use cases.
A primary responsibility of this role is to optimize and maintain our OLTP databases, ensuring reliability, performance, and production readiness. This includes auditing systems, improving data quality, refactoring legacy pipelines, and applying best practices for schema design, indexing, and query performance. In parallel, you will build and maintain scalable data systems that power advanced analytics across the business. You will design performance testing and release validation frameworks to prevent regressions and ensure data integrity, while establishing strong production processes such as monitoring, alerting, backup and recovery, access controls, and incident response.
What You Need (Required Knowledge, Skills & Abilities):
- Education & Experience
- Bachelor's degree in Mathematics, Statistics, Computer Science, or related field
- 5+ years of experience as a Database Engineer, Data Engineer, or similar role
- Experience designing, implementing, and maintaining high performant, scalable OLTP systems.
- Hands-on experience and advanced knowledge of SQL (e.g., Postgres, Snowflake)
- Strong experience with data modeling, data warehouses, and lakehouse architectures
- Experience designing and implementing scalable data architectures, including batch and streaming pipelines
- Experience building ELT pipelines with dbt and Snowflake
- Intermediate to advanced Python development skills
- Experience assessing and improving existing database systems, including performance tuning (indexing, query optimization, partitioning) and data quality remediation
- Strong understanding of database internals and transactional systems
- Experience implementing backup, recovery, and high-availability strategies
- Experience designing and implementing performance/load testing frameworks for data systems
- Knowledge of benchmarking, regression testing, and release validation processes
- Experience building automated testing pipelines to ensure data quality and system performance across deployments
- Experience defining and maintaining production database processes, including monitoring, alerting, and incident response
- Familiarity with observability tools and practices (logging, metrics, tracing)
- Strong understanding of SLAs, SLOs, and data reliability best practices
- Experience with AWS data technologies (Glue, Kinesis, Lambda)
- Experience with orchestration tools (Airflow)
- Experience with infrastructure-as-code (Terraform)
- Knowledge of the Software Development Lifecycle
- Experience with CI/CD pipelines, especially for data systems
- Experience with containerization (Docker, Kubernetes)
- Knowledge of encryption, anonymization, and tokenization
- Experience with open table formats and data catalogs
- Familiarity with data observability tools (e.g., Monte Carlo, Datadog, Prometheus)
- Detail-oriented, with a strong data quality mindset
- Strong problem-solving and troubleshooting skills with a proactive approach to system reliability
- Self-starter with a bias toward ownership and continuous improvement
- Comfortable bringing structure and best practices to ambiguous or legacy environments
- Thrives in a fast-paced, startup-oriented, team-focused culture
- Positive, collaborative, and energetic attitude
- Excellent verbal and written communication skills
- Ability to clearly explain complex technical issues to both technical and non-technical audiences
£70,000 - £110,000 a year. We are proud to offer competitive salary ranges aligned to industry standards. Please note that our ranges are representative and individual compensation specifics may vary based upon experience level, professional competencies and geographic differentials.
Sr. Database Architect employer: Mitek Systems
Contact Detail:
Mitek Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Database Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to database architecture and data engineering. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to OLTP systems and data pipelines. Practice explaining complex concepts in simple terms – it’ll impress both techies and non-techies alike!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Sr. Database Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with OLTP systems, SQL, and data architecture to show us you're the right fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our needs. Share specific examples of your past work that demonstrate your problem-solving skills and attention to detail.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical applications of your skills, especially around performance testing and data reliability.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Mitek Systems
✨Know Your Databases Inside Out
Make sure you brush up on your knowledge of OLTP systems, SQL, and data modelling. Be ready to discuss your experience with performance tuning and how you've optimised databases in the past. This will show that you’re not just familiar with the concepts but have practical experience applying them.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles, particularly around data quality and system reliability. Highlight your proactive approach to troubleshooting and how you’ve implemented solutions. This will demonstrate your ability to think critically and act decisively.
✨Familiarise Yourself with Tools and Technologies
Get comfortable with the tools mentioned in the job description, like AWS technologies, Airflow, and Terraform. If you have experience with CI/CD pipelines or containerisation, be ready to discuss how you've used these in your projects. This shows you’re up-to-date with industry standards.
✨Communicate Clearly and Confidently
Practice explaining complex technical issues in simple terms. You’ll likely need to communicate with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. A positive and collaborative attitude will also go a long way in making a great impression.