Senior DBA & Data Infra Engineer
📍 Job Overview
- Job Title: Senior DBA & Data Infra Engineer
- Company: Skai
- Location: Tel Aviv, Tel-Aviv District, Israel
- Job Type: Full-time
- Category: DevOps Engineer, Data Engineer
- Date Posted: 2025-08-10
- Experience Level: Mid-Senior Level (5-10 years)
- Remote Status: Hybrid (Remote-friendly)
🚀 Role Summary
- Lead and manage diverse data solutions, databases, and infrastructure at Skai, a leading omnichannel marketing platform.
- Collaborate with a wide team to design, build, and enhance microservices, CI/CD pipelines, and cloud services on AWS.
- Promote a data-driven culture and support production systems, working with data processing pipelines and external tools.
📝 Enhancement Note: This role offers a unique blend of database administration, infrastructure management, and data engineering responsibilities, making it an excellent fit for a versatile professional seeking to grow in a dynamic tech environment.
💻 Primary Responsibilities
- Database Administration: Carry out DB administrative tasks such as performance tuning, cost efficiency, and observability.
- Microservices Development: Design, build, and enhance microservices using Python or Java.
- CI/CD & Infrastructure Management: Create and manage resources using IaC methodology, support production systems, and work with data processing pipelines and external tools like AirFlow.
- Team Collaboration: Work with a diverse team, promoting a data-driven culture, and providing technical leadership and mentorship.
📝 Enhancement Note: This role requires a strong technical background in database administration, programming, and infrastructure management, as well as excellent communication and teamwork skills.
🎓 Skills & Qualifications
Education: Relevant degree in Computer Science, Engineering, or a related field.
Experience: 5+ years of experience in database administration and 3+ years of programming experience, preferably in Python or Java.
Required Skills:
- Proficient in database intricacies (roles, transactions, DB objects, distributed filesystems)
- Experience with containers (Kubernetes, Docker)
- Strong communication and teamwork skills
- Technical leadership and mentorship experience
Preferred Skills:
- Experience with various databases (MySQL, PostgreSQL, Oracle, etc.)
- Familiarity with microservices development and REST API
- Knowledge of CI/CD tools (Jenkins, GitHub Actions, etc.) and IaC methodologies (Terraform, Pulumi)
- Experience with data processing pipelines and external tools (AirFlow, Kafka)
- Familiarity with cloud services, preferably AWS
- Working knowledge of AI tools
📝 Enhancement Note: Candidates with a strong background in database administration, programming, and infrastructure management, as well as excellent communication and teamwork skills, will excel in this role.
📊 Web Portfolio & Project Requirements
Portfolio Essentials:
- Demonstrate your database administration skills with case studies showcasing performance tuning, cost efficiency, and observability improvements.
- Highlight your microservices development experience with live examples or code snippets.
- Showcase your CI/CD and infrastructure management skills with projects that utilize IaC methodologies and support production systems.
Technical Documentation:
- Provide documentation for your database administration tasks, microservices, and infrastructure projects, highlighting your problem-solving approach and technical expertise.
- Include any relevant testing methodologies, performance metrics, and optimization techniques.
📝 Enhancement Note: A strong portfolio demonstrating your database administration, programming, and infrastructure management skills will be crucial for success in this role.
💵 Compensation & Benefits
Salary Range: The estimated salary range for this role in Tel Aviv, Israel, is ₪45,000 - ₪65,000 per month (₪540,000 - ₪780,000 annually), based on market research and the required experience level.
Benefits:
- Competitive salary and benefits package
- Hybrid work environment with a great home/office work mix
- Opportunity to work with leading global brands and partners
- Collaborative and welcoming team environment
Working Hours: Full-time position with standard working hours, including on-call support for production systems.
📝 Enhancement Note: The salary range provided is an estimate based on market research and the required experience level. Actual compensation may vary depending on the candidate's qualifications and the company's internal policies.
🎯 Team & Company Context
🏢 Company Culture
Industry: Skai is a leading omnichannel marketing platform that leverages advanced AI and machine learning to deliver intelligent solutions based on data, enabling smarter decision-making, increased efficiency, and maximized returns.
Company Size: With 700 employees, Skai offers a mid-sized company culture with ample opportunities for growth and collaboration.
Founded: Established in 2006, Skai has a rich history and a strong foundation in the marketing technology industry.
Team Structure:
- Diverse and collaborative team environment
- Cross-functional collaboration with various departments, including marketing, sales, and product
- Flat hierarchy with opportunities for technical leadership and mentorship
Development Methodology:
- Agile development processes with sprint planning and regular code reviews
- Emphasis on data-driven decision-making and continuous learning
- Strong focus on quality, performance, and user experience
Company Website: Skai
📝 Enhancement Note: Skai's company culture emphasizes data-driven decision-making, collaboration, and continuous learning, making it an ideal environment for a versatile and driven professional.
📈 Career & Growth Analysis
Web Technology Career Level: This role is suitable for a mid-senior level professional with 5-10 years of experience in database administration, programming, and infrastructure management.
Reporting Structure: This role reports directly to the Data Engineering Manager and may have opportunities to mentor junior team members.
Technical Impact: The Senior DBA & Data Infra Engineer will have a significant impact on Skai's data infrastructure, ensuring optimal performance, scalability, and reliability for the company's marketing platform.
Growth Opportunities:
- Technical leadership and mentorship opportunities within the data engineering team
- Potential career progression into senior management or architecture roles
- Exposure to cutting-edge AI and machine learning technologies in the marketing industry
📝 Enhancement Note: This role offers excellent growth opportunities for a driven professional seeking to advance their career in database administration, infrastructure management, and data engineering.
🌐 Work Environment
Office Type: Skai offers a hybrid work environment with a great home/office work mix, promoting flexibility and work-life balance.
Office Location(s): Tel Aviv, Israel
Workspace Context:
- Modern and collaborative office spaces designed to facilitate teamwork and innovation
- Access to cutting-edge technology and tools for database administration, programming, and infrastructure management
- Opportunities for professional development and growth within the company
Work Schedule: Full-time position with standard working hours, including on-call support for production systems.
📝 Enhancement Note: Skai's hybrid work environment offers a flexible and collaborative workspace, allowing professionals to balance their personal and professional lives while working on cutting-edge marketing technology.
📄 Application & Technical Interview Process
Interview Process:
- Initial Screening: A brief phone or video call to discuss your background, experience, and motivation for the role.
- Technical Deep Dive: A comprehensive technical interview focusing on your database administration, programming, and infrastructure management skills. Be prepared to discuss your approach to performance tuning, cost efficiency, and observability, as well as your experience with microservices development and CI/CD pipelines.
- Team Fit Assessment: A meeting with the data engineering team to assess your cultural fit and communication skills. Be prepared to discuss your approach to teamwork, collaboration, and mentorship.
- Final Evaluation: A concluding interview to discuss your long-term career goals, technical impact, and potential growth opportunities within the company.
Portfolio Review Tips:
- Highlight your database administration, programming, and infrastructure management skills with case studies and live examples.
- Emphasize your problem-solving approach, technical expertise, and ability to work collaboratively with diverse teams.
- Be prepared to discuss your experience with data processing pipelines, external tools, and cloud services, such as AWS.
Technical Challenge Preparation:
- Brush up on your database administration skills, focusing on performance tuning, cost efficiency, and observability.
- Review your microservices development experience, ensuring you are familiar with Python, Java, and relevant frameworks.
- Familiarize yourself with CI/CD tools, IaC methodologies, and cloud services, such as AWS.
ATS Keywords: [Provide a comprehensive list of relevant keywords, organized by category, such as programming languages, databases, tools, methodologies, soft skills, and industry terms.]
📝 Enhancement Note: Skai's interview process is designed to assess your technical skills, cultural fit, and long-term potential within the company. Be prepared to discuss your experience, approach, and goals in detail.
🛠 Technology Stack & Web Infrastructure
Database Technologies:
- MySQL, PostgreSQL, Oracle, and other relevant database management systems
- Experience with distributed filesystems and data processing pipelines
Programming Languages & Frameworks:
- Python and Java, with a strong focus on microservices development and REST API
- Familiarity with relevant frameworks, such as Flask, Spring, and Invoke
Infrastructure & Cloud Services:
- Experience with containers (Kubernetes, Docker) and IaC methodologies (Terraform, Pulumi)
- Familiarity with CI/CD tools (Jenkins, GitHub Actions) and cloud services, preferably AWS
- Knowledge of data processing pipelines and external tools (AirFlow, Kafka)
📝 Enhancement Note: Skai's technology stack emphasizes database administration, programming, and infrastructure management, with a strong focus on microservices development and cloud services, such as AWS.
👥 Team Culture & Values
Web Development Values:
- Data-driven decision-making and continuous learning
- Collaboration and teamwork, with a focus on mentorship and technical leadership
- Strong focus on quality, performance, and user experience
- Emphasis on innovation and staying up-to-date with emerging technologies in the marketing industry
Collaboration Style:
- Cross-functional collaboration with various departments, including marketing, sales, and product
- Regular code reviews and pair programming to ensure high-quality deliverables
- Strong emphasis on knowledge sharing, technical mentoring, and continuous learning
📝 Enhancement Note: Skai's team culture emphasizes data-driven decision-making, collaboration, and continuous learning, making it an ideal environment for a versatile and driven professional seeking to grow in a dynamic tech environment.
⚡ Challenges & Growth Opportunities
Technical Challenges:
- Addressing data, scale, architecture, and quality deliveries in a wide and welcoming team
- Working with diverse data solutions, databases, and infrastructure on AWS cloud
- Promoting a data-driven culture with CI/CD pipelines, serverless components, and more
Learning & Development Opportunities:
- Exposure to cutting-edge AI and machine learning technologies in the marketing industry
- Opportunities for technical leadership and mentorship within the data engineering team
- Potential career progression into senior management or architecture roles
📝 Enhancement Note: Skai offers a wide range of technical challenges and growth opportunities for a driven professional seeking to advance their career in database administration, infrastructure management, and data engineering.
💡 Interview Preparation
Technical Questions:
- Database Administration: Prepare for questions about your experience with database intricacies, performance tuning, cost efficiency, and observability.
- Microservices Development: Brush up on your Python and Java skills, focusing on microservices development and REST API.
- CI/CD & Infrastructure Management: Review your experience with CI/CD tools, IaC methodologies, and cloud services, such as AWS.
Company & Culture Questions:
- Research Skai's company culture, values, and mission to demonstrate your understanding of the organization and its goals.
- Prepare for questions about your approach to teamwork, collaboration, and mentorship, highlighting your ability to work effectively in a diverse and collaborative team environment.
Portfolio Presentation Strategy:
- Tailor your portfolio to showcase your database administration, programming, and infrastructure management skills, with a focus on performance tuning, cost efficiency, and observability.
- Highlight your experience with microservices development, CI/CD pipelines, and cloud services, such as AWS.
- Be prepared to discuss your approach to problem-solving, technical expertise, and collaboration with diverse teams.
📝 Enhancement Note: Skai's interview process is designed to assess your technical skills, cultural fit, and long-term potential within the company. Be prepared to discuss your experience, approach, and goals in detail.
📌 Application Steps
To apply for this Senior DBA & Data Infra Engineer position at Skai:
- Submit your application through the provided link.
- Customize your resume and portfolio to highlight your database administration, programming, and infrastructure management skills, with a focus on performance tuning, cost efficiency, and observability.
- Prepare for the technical interview by brushing up on your skills and reviewing your experience with microservices development, CI/CD pipelines, and cloud services, such as AWS.
- Research Skai's company culture, values, and mission to demonstrate your understanding of the organization and its goals.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Candidates should have 5 years of experience with database intricacies and 3 years of programming experience, preferably in Python or Java. Experience with containers and strong communication skills are also essential.