📍 Job Overview

Job Title: Senior Database Engineer - AWS
Company: Experian
Location: Sofia, Sofia-Grad, Bulgaria
Job Type: Full-time, Hybrid
Category: Database Administration
Date Posted: 2025-06-24
Experience Level: 5-10 years
Remote Status: Hybrid (On-site and Remote)

🚀 Role Summary

Design and implement scalable database architectures for transactional workloads, ensuring data integrity, performance, and availability.
Collaborate with engineering, data science, and DevOps teams to lead database migration, replication, and backup/recovery strategies across cloud and on-prem environments.
Define database standards, best practices, and governance policies, providing technical leadership and mentorship to database administrators and data engineers.

📝 Enhancement Note: This role requires a senior-level database engineer with a strong background in database architecture, design, and administration. The successful candidate will have experience working with both relational and NoSQL databases, as well as familiarity with cloud platforms, particularly AWS.

💻 Primary Responsibilities

Database Architecture & Design: Design and implement scalable database architectures for transactional workloads, ensuring data integrity, performance, and availability.
Data Modeling & Schema Design: Develop data models, schemas, and storage strategies that align with business requirements and performance goals.
Database Governance: Define database standards, best practices, and governance policies, ensuring data security and compliance.
Collaboration & Migration: Collaborate with application developers and data engineers to improve queries, indexing strategies, and data access patterns. Lead database migration, replication, and backup/recovery strategies across cloud and on-prem environments.
Performance Monitoring & Optimization: Monitor database performance, ensuring high availability and disaster recovery readiness. Recommend new database technologies and platforms to improve performance and scalability.
Technical Leadership & Mentorship: Provide technical leadership and mentorship to database administrators and data engineers, fostering a culture of continuous learning and improvement.

📝 Enhancement Note: The primary responsibilities of this role require a strong understanding of database architecture, design, and administration. The successful candidate will have experience working with both relational and NoSQL databases, as well as familiarity with cloud platforms, particularly AWS.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications (e.g., AWS Certified Database Specialty, Microsoft Certified: Azure Database Administrator Associate) are a plus.

Experience: 5+ years of experience in database architecture, design, and administration. Proven experience working with both relational and NoSQL databases, as well as familiarity with cloud platforms, particularly AWS.

Required Skills:

Expertise in relational databases (e.g., PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
Experience with data modeling, normalization, and schema design.
Proficiency in performance tuning, query optimization, and database security.
Familiarity with Infrastructure-as-Code tools (e.g., Terraform, CloudFormation) and CI/CD pipelines.
Experience creating technical documentation and communicating with stakeholders.
Excellent written and verbal English.

Preferred Skills:

Experience with AWS services (e.g., RDS, Redshift, DynamoDB, Aurora).
Familiarity with containerization (e.g., Docker, Kubernetes) and orchestration tools.
Knowledge of data warehousing and big data technologies (e.g., Hadoop, Spark, Hive).
Experience with data governance and data quality tools.

📝 Enhancement Note: The required and preferred skills for this role focus on a strong background in database architecture, design, and administration. The successful candidate will have experience working with both relational and NoSQL databases, as well as familiarity with cloud platforms, particularly AWS.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience in database architecture, design, and administration through case studies or projects.
Showcase your ability to design and implement scalable database architectures for transactional workloads.
Highlight your experience with data modeling, normalization, and schema design.
Display your proficiency in performance tuning, query optimization, and database security.

Technical Documentation:

Provide examples of technical documentation created for database projects, demonstrating your ability to communicate complex concepts clearly and concisely.
Showcase your experience with Infrastructure-as-Code tools (e.g., Terraform, CloudFormation) and CI/CD pipelines.
Include examples of database migration, replication, and backup/recovery strategies.

📝 Enhancement Note: The portfolio and project requirements for this role focus on demonstrating your experience in database architecture, design, and administration. The successful candidate will have a strong portfolio showcasing their ability to design and implement scalable database architectures, as well as their proficiency in performance tuning, query optimization, and database security.

💵 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be between BGN 45,000 and BGN 60,000 per year (approximately EUR 23,500 to EUR 31,000), based on market research and regional adjustments for the Sofia, Bulgaria area. This estimate takes into account the experience level, role complexity, and cost of living in the region.

Benefits:

Personal Development: Career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials, and books.
Work Environment: Excellent work conditions with a friendly environment, recognized strong team spirit, and fun and quality recreation time.
Social Benefit Package: Life insurance, food vouchers, additional health insurance, monthly flex allowance, and internet coverage, corporate discounts, marriage and childbirth/adoption allowance, Multisport card, Sharesave plan, Employee assistance program, birthday gift, and many other benefits!
Work-Life Balance: 25 days paid vacation, 1 additional day off for your birthday, and extra 3 paid days for participation in Social responsibility events. Opportunity for flexible working hours and home office.
Hybrid Work Arrangement: This role offers a hybrid work arrangement, allowing for a combination of on-site and remote work.

📝 Enhancement Note: The salary range and benefits for this role are based on market research and regional adjustments for the Sofia, Bulgaria area. The benefits package is designed to attract and retain top talent in the database administration field.

🎯 Team & Company Context

🏢 Company Culture

Industry: Experian operates in the data and technology industry, powering opportunities for people and businesses around the world. The company helps to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using its unique combination of data, analytics, and software.

Company Size: Experian is a large, global organization with over 22,500 employees across 32 countries. This size provides opportunities for career growth and exposure to diverse teams and projects.

Founded: Experian was founded in 1960 and has since grown into a FTSE 100 Index company listed on the London Stock Exchange (EXPN). The company has a rich history of innovation and data-driven solutions.

Team Structure:

The database team at Experian consists of database administrators, data engineers, and data architects, working collaboratively to ensure data integrity, performance, and availability across the organization.
The team reports to the VP of Architecture, who oversees the company's technical strategy and architecture.
The team works cross-functionally with engineering, data science, and DevOps teams to ensure data-driven decision-making and innovative solutions.

Development Methodology:

Experian uses Agile methodologies for software development, with a focus on iterative development, continuous integration, and collaboration.
The company emphasizes code reviews, testing, and quality assurance to ensure the delivery of high-quality products and services.
Experian leverages CI/CD pipelines and Infrastructure-as-Code tools to automate deployment and ensure consistent, reliable environments.

Company Website: https://www.experian.com/

📝 Enhancement Note: The company culture section provides context on Experian's industry, size, and development methodologies. This information is relevant to understanding the role's context and the company's approach to technology and innovation.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a senior-level position, requiring a high level of expertise in database architecture, design, and administration. The successful candidate will have extensive experience working with both relational and NoSQL databases, as well as familiarity with cloud platforms, particularly AWS.

Reporting Structure: The Senior Database Engineer will report directly to the VP of Architecture, providing technical leadership and mentorship to database administrators and data engineers within the organization.

Technical Impact: The Senior Database Engineer will play a critical role in ensuring data integrity, performance, and availability across Experian's business applications and analytics platforms. Their work will directly impact the company's ability to make data-driven decisions and deliver innovative solutions to its customers.

Growth Opportunities:

Technical Specialization: As a senior-level role, this position offers opportunities for technical specialization and deepening expertise in database architecture, design, and administration.
Technical Leadership: The Senior Database Engineer will have the opportunity to provide technical leadership and mentorship to other team members, fostering a culture of continuous learning and improvement.
Architecture Decision-Making: The successful candidate will have the opportunity to influence architecture decisions, driving the company's technical strategy and roadmap.

📝 Enhancement Note: The career and growth analysis section provides insights into the role's career level, reporting structure, technical impact, and growth opportunities. This information is relevant to understanding the role's context and the potential for professional growth and development.

🌐 Work Environment

Office Type: Experian's Sofia office is a modern, collaborative workspace designed to foster innovation and creativity. The office features open-plan workspaces, meeting rooms, and breakout areas, as well as on-site amenities such as a gym, cafeteria, and parking.

Office Location(s): The Sofia office is located in the Mladost district, with easy access to public transportation and nearby amenities.

Workspace Context:

Collaborative Work Environment: The open-plan workspace encourages collaboration and communication between team members, fostering a culture of shared learning and problem-solving.
State-of-the-Art Technology: The office is equipped with modern technology and tools to support the development and deployment of cutting-edge data-driven solutions.
Cross-Functional Interaction: The database team works closely with other teams, such as engineering, data science, and DevOps, to ensure data-driven decision-making and innovative solutions.

Work Schedule: The hybrid work arrangement for this role allows for a combination of on-site and remote work, providing flexibility for employees to balance their work and personal lives.

📝 Enhancement Note: The work environment section provides context on Experian's office type, location, and workspace context. This information is relevant to understanding the role's context and the company's approach to fostering a collaborative and innovative work environment.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen: A brief phone call to discuss the role, experience, and expectations. This may include technical questions to assess your understanding of database architecture, design, and administration.
Technical Deep Dive: A comprehensive technical interview focused on your experience with database architecture, design, and administration. This may include case studies, architecture discussions, and problem-solving exercises.
Cultural Fit Assessment: A conversation with the hiring manager or a member of the team to assess cultural fit and alignment with Experian's values and mission.
Final Evaluation: A final discussion with senior leadership to evaluate your fit for the role and make a hiring decision.

Portfolio Review Tips:

Case Studies: Prepare case studies that demonstrate your experience in database architecture, design, and administration. Highlight your ability to design and implement scalable database architectures for transactional workloads.
Technical Documentation: Include examples of technical documentation created for database projects, demonstrating your ability to communicate complex concepts clearly and concisely.
Performance Optimization: Highlight your proficiency in performance tuning, query optimization, and database security through examples and anecdotes.

Technical Challenge Preparation:

Database Architecture: Brush up on your knowledge of database architecture, design, and administration. Familiarize yourself with both relational and NoSQL databases, as well as cloud platforms, particularly AWS.
Problem-Solving: Prepare for problem-solving exercises that may involve database design, performance optimization, or data modeling and schema design.
Communication: Practice articulating your technical concepts and solutions clearly and concisely, ensuring that your responses are well-structured and easy to understand.

ATS Keywords: [Comprehensive list of web development and server administration-relevant keywords for resume optimization, organized by category: programming languages, web frameworks, server technologies, databases, tools, methodologies, soft skills, industry terms]

📝 Enhancement Note: The application and technical interview process section provides insights into the interview process, portfolio review tips, and technical challenge preparation. This information is relevant to understanding the interview process and preparing for a successful technical interview.

🛠 Technology Stack & Web Infrastructure

Database Technologies:

Relational Databases: PostgreSQL, MySQL, Oracle, SQL Server
NoSQL Databases: MongoDB, Cassandra, DynamoDB
Cloud Databases: Amazon RDS, Amazon Redshift, Amazon DynamoDB, Amazon Aurora

Infrastructure Tools:

Infrastructure-as-Code: Terraform, CloudFormation
CI/CD Pipelines: Jenkins, GitLab CI/CD
Monitoring Tools: Prometheus, Grafana, Datadog

📝 Enhancement Note: The technology stack and web infrastructure section provides context on the database technologies, infrastructure tools, and monitoring tools used at Experian. This information is relevant to understanding the role's technical requirements and the company's approach to infrastructure management.

👥 Team Culture & Values

Database Team Values:

Data Integrity: Prioritize data integrity, ensuring that data is accurate, complete, and consistent across the organization.
Performance Optimization: Continuously monitor and optimize database performance, ensuring that data-driven decisions are made efficiently and effectively.
Collaboration: Foster a culture of collaboration and knowledge-sharing, working closely with other teams to ensure data-driven decision-making and innovative solutions.
Innovation: Embrace emerging technologies and best practices, driving continuous improvement and innovation in database architecture, design, and administration.

Collaboration Style:

Cross-Functional Integration: The database team works closely with other teams, such as engineering, data science, and DevOps, to ensure data-driven decision-making and innovative solutions.
Code Review Culture: The team emphasizes code reviews and peer programming, fostering a culture of shared learning and continuous improvement.
Knowledge Sharing: The team encourages knowledge-sharing and technical mentoring, ensuring that everyone has the opportunity to learn and grow professionally.

📝 Enhancement Note: The team culture and values section provides context on the database team's values and collaboration style. This information is relevant to understanding the role's context and the company's approach to fostering a collaborative and innovative work environment.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability: Design and implement scalable database architectures for transactional workloads, ensuring data integrity, performance, and availability.
Data Modeling & Schema Design: Develop data models, schemas, and storage strategies that align with business requirements and performance goals.
Performance Optimization: Continuously monitor and optimize database performance, ensuring that data-driven decisions are made efficiently and effectively.
Emerging Technologies: Stay up-to-date with emerging technologies and best practices, driving continuous improvement and innovation in database architecture, design, and administration.

Learning & Development Opportunities:

Technical Specialization: As a senior-level role, this position offers opportunities for technical specialization and deepening expertise in database architecture, design, and administration.
Technical Leadership: The Senior Database Engineer will have the opportunity to provide technical leadership and mentorship to other team members, fostering a culture of continuous learning and improvement.
Architecture Decision-Making: The successful candidate will have the opportunity to influence architecture decisions, driving the company's technical strategy and roadmap.

📝 Enhancement Note: The challenges and growth opportunities section provides insights into the technical challenges and learning and development opportunities associated with this role. This information is relevant to understanding the role's context and the potential for professional growth and development.

💡 Interview Preparation

Technical Questions:

Database Architecture: Describe your experience with database architecture, design, and administration. Provide examples of your ability to design and implement scalable database architectures for transactional workloads.
Data Modeling & Schema Design: Explain your approach to data modeling, normalization, and schema design. Provide examples of your experience with data modeling and schema design for complex business requirements.
Performance Optimization: Discuss your experience with performance tuning, query optimization, and database security. Provide examples of your ability to optimize database performance for transactional workloads.

Company & Culture Questions:

Company Culture: Research Experian's company culture, values, and mission. Be prepared to discuss how your personal values align with the company's culture and how you can contribute to the team's success.
Technical Leadership: Prepare to discuss your experience with technical leadership and mentorship. Be ready to provide examples of your ability to drive technical innovation and foster a culture of continuous learning and improvement.
Architecture Decision-Making: Familiarize yourself with Experian's technical strategy and roadmap. Be prepared to discuss your approach to architecture decision-making and how you can drive the company's technical strategy and roadmap.

Portfolio Presentation Strategy:

Case Studies: Prepare case studies that demonstrate your experience in database architecture, design, and administration. Highlight your ability to design and implement scalable database architectures for transactional workloads.
Technical Documentation: Include examples of technical documentation created for database projects, demonstrating your ability to communicate complex concepts clearly and concisely.
Performance Optimization: Highlight your proficiency in performance tuning, query optimization, and database security through examples and anecdotes.

📝 Enhancement Note: The interview preparation section provides insights into the technical and company-specific questions you can expect during the interview process. This information is relevant to understanding the interview process and preparing for a successful technical interview.

📌 Application Steps

To apply for this Senior Database Engineer - AWS position at Experian:

Submit Your Application: Click on the application link and submit your resume, highlighting your experience in database architecture, design, and administration.
Prepare Your Portfolio: Customize your portfolio with live demos and responsive examples that showcase your experience in database architecture, design, and administration.
Optimize Your Resume: Tailor your resume to the role, emphasizing your experience with database architecture, design, and administration, as well as your proficiency in performance tuning, query optimization, and database security.
Prepare for Technical Interview: Brush up on your knowledge of database architecture, design, and administration, particularly with cloud platforms, such as AWS. Practice problem-solving exercises and articulate your technical concepts clearly and concisely.
Research the Company: Familiarize yourself with Experian's company culture, values, and mission. Understand the company's technical strategy and roadmap, and be prepared to discuss how your personal values align with the company's culture and how you can contribute to the team's success.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Senior Database Engineer - AWS