Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

PostgreSQL Microsoft SQL Server Data Engine (MSDE) MongoDB MongoDB Data Engineering Database Schema Database Deployment Management High Availability Design Data Architecture Cyberinfrastructure +24 more

Other Skills

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Team Management
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Collaboration
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Analytical Thinking
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Prioritization
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Problem Solving

Roles & Responsibilities

2 years of experience with team management
4+ years of experience working with data platforms, including at least 2 years in a DBA role supporting MongoDB and relational databases (infrastructure and application support)
Hands-on experience in data engineering (Airflow preferred)
Minimum 1 year of hands-on experience with AWS

Requirements:

Serve as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and deployment changes.
Manage, maintain, and support MongoDB databases across Atlas and on-premise environments.
Administer and support SQL Server and PostgreSQL databases in both on-premise and AWS environments.
Continuously monitor database health, performance, and availability.

Commit

About Commit

Commit is a global tech services company with offices in New York, Israel, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Software, IoT, Big Data, Cloud, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.

Company type: SME

Founded: 2018

Company size: 501 - 1000

Website LinkedIn See all jobs →

Job description

Description

We are looking for a skilled and proactive Database Administrator to lead and support our MongoDB and relational database environments. This role combines hands-on database management, performance optimization, infrastructure oversight, and close collaboration with engineering teams to ensure reliability, scalability, and operational excellence.

Key Responsibilities:

Serve as the primary point of contact for all MongoDB-related topics, including reviewing and approving configuration and deployment changes.
Manage, maintain, and support MongoDB databases across Atlas and on-premise environments.
Administer and support SQL Server and PostgreSQL databases in both on-premise and AWS environments.
Continuously monitor database health, performance, and availability.
Collaborate with software engineers to optimize SQL queries and improve database schema design.
Ensure high availability (HA) and implement robust disaster recovery (DR) strategies to minimize downtime.
Contribute to long-term database architecture planning and scalability initiatives.
Execute database changes, apply patches, and manage version upgrades.
Support the design and maintenance of data extraction pipelines from MongoDB and SQL Server.
Participate in an on-call rotation to support production systems as needed.

Requirements

Requirements:

2 years of experience with Team Management
4+ years of experience working with data platforms, including at least 2 years in a DBA role supporting MongoDB and relational databases (infrastructure and application support).
Hands-on experience in data engineering (Airflow preferred).
Minimum 1 year of hands-on experience with AWS.
Advanced T-SQL development and performance tuning skills.
Experience with Git and modern version control workflows.
Strong knowledge of backup, recovery, security, and data integrity best practices.
Excellent analytical and problem-solving skills, with strong algorithmic thinking.
Ability to thrive in a fast-paced environment and manage multiple priorities.
Fluent English (written and spoken).

Nice to Have:

Experience with dbatools, Redgate SQL Toolbelt, and Coralogix.
Familiarity with CI/CD pipelines and database change management tools such as Liquibase.