116 Database Manager jobs in Singapore

Job Overview

We are seeking a skilled Database Operations Manager to oversee the administration of our Oracle database environments. This is a critical role that requires a strong background in database management, excellent analytical skills, and the ability to work effectively in a team environment.

Responsibilities:

• Database Administration: Manage, maintain, and optimize Oracle database environments to ensure optimal performance and availability.
• Oracle RAC Management: Implement and manage Oracle Real Application Clusters (RAC) environments to support high availability and disaster recovery requirements.
• Database Installation and Upgrades: Perform database installations, upgrades, and patches to ensure seamless operation and minimal downtime.
• Backup and Recovery Strategies: Implement and manage backup and recovery strategies to protect against data loss and ensure business continuity.
• Performance Tuning: Monitor database performance and tune for optimal efficiency to meet growing business demands.
• High Availability and Disaster Recovery: Ensure high availability and disaster recovery readiness by implementing and managing robust failover and failback processes.
• Automation: Automate common database maintenance tasks to reduce manual intervention and improve overall efficiency.
• Collaboration: Collaborate with development teams to ensure efficient database design and implementation.
• Security and Compliance: Implement and maintain database security measures to protect against unauthorized access and ensure compliance with data protection regulations.

Requirements:

• Education: Bachelor's degree in Computer Science, Information Technology, or related field.
• Experience: Minimum 9 years of experience as an Oracle DBA.
• Certifications: Oracle Certified Professional (OCP) certification.
• Skills: Proven experience implementing and managing Oracle RAC; proficiency in scripting languages (e.g., Shell, Python, Perl) for automation.

Benefits:

This role offers a competitive salary, comprehensive benefits package, and opportunities for career growth and professional development.

Join to apply for the Database Engineering Manager (Remote, AUS) role at CrowdStrike

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Join to apply for the Database Engineering Manager (Remote, AUS) role at CrowdStrike

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As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About The Role

CrowdStrike is seeking an experienced Engineering Manager to lead and grow our global Data Services team . This role is crucial in overseeing the deployment, maintenance, and scaling of our cloud-native platform.

We're looking for a strategic technical leader with a proven track record in managing distributed teams and deep expertise in data platforms such as Apache Cassandra, Apache Kafka, OpenSearch, caching solutions (Memcached, Redis), relational databases (PostgreSQL, MySQL), Kubernetes, or Zookeeper.

What You'll Do

• Lead and mentor a team of skilled engineers responsible for the deployment, operations, and scaling of critical data platforms including Apache Cassandra, Apache Kafka, OpenSearch, caching solutions (Memcached, Redis), relational databases (PostgreSQL, MySQL), Kubernetes, and Zookeeper.
• Develop and execute long-term technical strategies to ensure the scalability, reliability, and performance of our data infrastructure.
• Drive architectural decisions and innovations that align with CrowdStrike's business goals and technical roadmap.
• Oversee operations in large-scale, business-critical Linux environments, balancing both cloud and bare metal infrastructures.
• Collaborate with cross-functional teams to integrate data services seamlessly into CrowdStrike's broader technology ecosystem.
• Implement and refine processes for continuous improvement, focusing on system reliability, performance optimization, and cost-effectiveness.
• Provide technical leadership and guidance across the organization on best practices for data management and infrastructure.
  
  

• 8+ years of experience in software engineering, with at least 5 years in a leadership role managing teams of 10+ engineers.
• Deep technical expertise in distributed systems, cloud-native architectures, and data platforms.
• Proven experience in scaling and optimizing large-scale data services in high-growth environments.
• Proven experience in administrating one of these, Apache Cassandra Apache Kafka, OpenSearch, caching solutions (Memcached, Redis), relational databases (PostgreSQL, MySQL), Kubernetes, or Zookeeper.
• Strong understanding of cloud technologies, AWS, GCP, OCI and Azure.
• Experience in managing and optimizing hybrid cloud and bare metal infrastructures.
• Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• Track record of successful project delivery in fast-paced, rapidly evolving environments.
• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.
  
  

• Remote-friendly and flexible work culture
• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified across the globe
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Computer and Network Security

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Downtown Core, Central Singapore Community Development Council, Singapore 2 weeks ago

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Sia Partners is a next-generation management consulting firm offering a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. With 3,000 consultants in 20 countries and a projected USD 500 million in turnover for this fiscal year, we have a global footprint and expertise in over 30 sectors and services, optimizing client projects worldwide. Our Consulting for Good approach drives impactful, innovative CSR solutions, making sustainability a key lever for profitable transformation.

Why Join the Sia Village?

At Sia Partners, our core values — Excellence, Entrepreneurship, Innovation, Teamwork, Care & Support, Employee Wellbeing — guide all actions. The Sia Village concept expresses our commitment to fostering a sense of community across all offices. We believe that knowledge sharing drives innovation, growth, and development for our people.

Your experience at Sia Partners will be enriched by:

A career advocacy program supporting professional development goals through real-time feedback

Continuous learning & development opportunities

Diversity, equity, and inclusion programs, with growing global affinity initiatives

Position Overview: Join our dynamic team as a Consultant/Senior Consultant in Data & AI, where you'll spearhead transformative initiatives within leading financial institutions. This role offers a unique opportunity to drive innovation across technology, data, and AI, shaping the landscape of client projects and organizational strategies.

Key Responsibilities:

• Collaborate with managers and key stakeholders to ensure the successful execution of client initiatives, with a focus on conceptualizing, designing, and implementing data-driven solutions.
• Leverage your expertise to innovate, build, and maintain robust data solutions that address business challenges, including reviewing data requirements and ensuring master data integrity.
• Design and maintain robust data architecture to support organizational data needs. Ensure alignment of data models and architectures with business requirements.
• Identify areas for data quality enhancement and implement strategies to resolve data quality issues, working closely with program/project managers and subject matter experts (SMEs).
• Design and implement enterprise data governance strategies, implement data security measures including encryption, masking, and authorization methods, to safeguard sensitive information.
• Provide valuable data insights to business and functional teams, recommending enhancements to data consolidation and streamlining data collection and reporting processes through automation.

• 3 - 5 years’ experience working on Data Management and Governance or Data analyst
• Bachelor's degree in a relevant field; advanced degrees or certifications are advantageous.
• Proven experience in data management, governance, or related roles within the financial services industry.
• Familiarity with data management topics, including master data management, metadata, reference data management, data cataloguing and lineage, data quality management, etc.
• Strong analytical and technical skills, with a track record of developing and implementing data solutions to address business needs.
• Experience with data management and governance tools (e.g., Collibra, Informatica, Alation, etc.)
• Familiarity with data security principles and best practices, including encryption methods and access controls.
• Excellent communication and collaboration skills, with the ability to work effectively with diverse teams and stakeholders.
• English fluency. Additional regional languages is a plus (e.g., Cantonese, Mandarin, Japanese, Bahasa)
• Prior experience working in consulting will be advantageous

Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

C-AB-002

Key Responsibilities:

· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.

· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).

· We are looking for personnel who can provide this support.

Key Requirements:

· Bachelor's degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.

· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).

· Basic knowledge of data governance (i.e. DAMA-DMBOK).

· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.

· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).

· Advanced SQL skills and strong ability to work with large, complex financial datasets.

· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

· Intermediate understanding of regulatory compliance in the APAC region.

· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

· Need to Power BI experiences

· People who can communicate and create basic reports

How to Apply:

If interested, please send your resume to or by clicking the "Apply Now" button.

We regret that only short-listed applicants will be notified.

Rachel Ling

Registration No: R21102195

EA Licence No: 21C0761

C-AB-002

Key Responsibilities:

· The client wants to create data integration, data marts, and data lakes in accordance with their data architect.

· However, rather than simply following instructions, it will be necessary to consider the current and future styles of data, communicate with multiple members, and perform design work when necessary (in other words, this role will require strong business analysis skills).

· We are looking for personnel who can provide this support.

Key Requirements:

· Bachelor’s degree in computer science, Information Systems, Data Science, or a related field. Master's degree preferred.

· 8-10 years of experience in data architecture, data modelling, or data management, preferably in the banking or financial services industry (must have).

· Basic knowledge of data governance (i.e. DAMA-DMBOK).

· Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.

· Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).

· Advanced SQL skills and strong ability to work with large, complex financial datasets.

· Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.

· Intermediate understanding of regulatory compliance in the APAC region.

· Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.

· Need to Power BI experiences

· People who can communicate and create basic reports

How to Apply:

If interested, please send your resume to or by clicking the “Apply Now” button.

We regret that only short-listed applicants will be notified.

Rachel Ling

Registration No: R21102195

EA Licence No: 21C0761

Bloomberg's success hinges on its ability to harness and deliver high-quality data insights to clients.

The Data Management Lab (DML) is the nerve center of Bloomberg's Data organization, where a team of experts works tirelessly to ensure that industry best practices align with Bloomberg's established expertise in financial market data.

As a Lead Data Management Professional, you will play a pivotal role in shaping the company's data management strategy while driving impactful business decisions.

• Drive global initiatives focused on data quality, operational efficiency, and data management across all departments
• Design and execute analytical frameworks to uncover root causes for data quality issues and develop recommendations using Bayesian analysis, machine learning, and causal inference techniques
• Develop optimization strategies to balance trade-offs such as performance, quality, and resource usage across data pipelines
• Apply Operations Research methods like Linear programming, Queuing theory, and Monte Carlo Simulations to drive business outcomes
• Maintain a thorough understanding of data engineering workflows, including how data pipelines are orchestrated and various components within the ETL framework
• Deliver actionable insights through advanced analytics and compelling data storytelling to support business decision making and innovation
• Collaborate with data stakeholders and engineering partners to translate high-impact questions into scalable data science solutions
• Build statistical and analytical capabilities within the team and mentor others

To succeed in this role, you will need:

• A Bachelor's degree or higher in Data Science, Economics, Statistics, or a relevant STEM field, or equivalent professional work experience
• 3-5 years' experience designing data engineering pipelines and optimizing data management processes
• Proficiency in Python (e.g., PySpark, Pandas, NumPy, or Pymc) and SQL
• Experience working in a data quality, data governance, or data management role, with a focus on delivering high-quality data insights to clients
• Familiarity with modern data tech stack tools, such as dbt, Iceberg, Trino, Airflow, Superset, etc.
• Familiarity with version control systems (e.g., Git) and a collaborative development workflow environment (e.g., GitHub, GitLab)
• Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

It would be beneficial if you had experience in:

• Data Management Association (DAMA) and Data Management Capability Assessment Model (DCAM)
• Knowledge of financial markets and Bloomberg products

Join a dynamic team as a data management professional at a prestigious organization. As a recent graduate or someone eager to develop hands-on experience in administrative operations and data management, you'll be ideal for this entry-level opportunity.

• Support daily business operations with prior knowledge of the industry, which is highly desirable
• Enter, update, and maintain data in internal systems and databases accurately
• Review and verify data for accuracy and completeness
• Input and update invoices into the company's database system efficiently
• Verify invoice details such as amounts, dates, and payment terms
• Communicate with suppliers or internal departments to resolve discrepancies or missing information
• Maintain accurate and organized records of invoices and payments
• Assist in reconciling invoices and supporting documentation
• Organize and manage physical and digital files and records
• Assist in preparing reports and summaries from entered data
• Provide general administrative support including filing, photocopying, and data entry
• Respond to inquiries and assist with internal data requests
• Assist with organizing and managing office documentation and scheduling tasks

This role requires a highly organized and detail-oriented individual who can work effectively in a fast-paced environment.

Job Summary:

The Administrative Support Assistant will provide data management, analytics, and strategic guidance to support agency leaders and financial consultants.

Key responsibilities include assisting Recruitment Managers in day-to-day operations, conducting fitness and propriety assessments, participating in financial consultant interviews, and tracking recruitment applications.

Main Tasks:

• Data management
• Analytics and reporting
• Strategic guidance
• Support for Recruitment Managers
• Fitness and propriety assessments
• Financial consultant interviews
• Tracking recruitment applications

Requirements:

• Diploma in a related discipline
• 1 year of relevant experience

Benefits:

A motivated and skilled team player who can start immediately or within short notice.

Contact Information: