363 Database Manager jobs in Singapore

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Data Architect
role at
Internal Security Department
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Data Architect
role at
Internal Security Department
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What The Role Is
ISD confronts and addresses threats to Singapore’s internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure and sovereign for all Singaporeans.
ISD utilises state-of-the-art technology and technical know-how to safeguard Singapore’s internal security, stability, and sovereignty. We are seeking highly motivated Data Architects to design, build, and administer a powerful data science and analytics ecosystem that enables the organisation to extract insights from voluminous data and make data-driven decisions.
We are hiring for Data Architect roles in the software engineering field. Those without relevant working experience are welcome to apply as long as they are able to demonstrate relevant knowledge and an ability to pick up the required skills quickly.
You will be supported by a team of highly technical and collaborative colleagues, and have opportunities for advanced training, like attending leading overseas conferences and courses. You will also have many opportunities to work on challenging, diverse and unique problem statements.
What You Will Be Working On
Our team’s flagship product is built on the following web stack technologies: Linux servers, nginx, Oracle database, Spark, Hive, Impala, HBase, Elasticsearch, Cloudera Machine Learning, Flask, FastAPI, Celery, RabbitMQ, Ansible, ArcGIS, and Svelte.
We are looking to expand our stack to include: DuckDB, graph databases, data virtualisation, and containerisation.
Depending on your level of experience, you will be helping to:
Design, develop, deploy, administer and/or maintain (portions of) this tech stack, or solutions based off it.
Recommend, evaluate, adopt, integrate and/or build on new open-source and commercial tools.
Engage end users, data analysts, data scientists, data engineers and project managers in the planning, development and delivery of solutions.
Lead projects, mentor juniors, make technical decisions, and/or formulate strategies.
What We Are Looking For
Someone passionate about software architecture (and engineering) applied to the domain of data science and analytics.
Self-motivated, open-minded, resourceful and meticulous candidates. Able to work independently and in teams.
Ability to keep the overarching objectives and constraints of the project in mind while pursuing the technical details.
Competent in at least one programming/scripting language (e.g. Python, Scala, JavaScript, bash). Interest and ability to gain expertise in other programming languages, frameworks and technologies.
Familiarity with one or more database and its related querying languages (e.g. SQL, Query DSL, Cypher).
Knowledge and experience with any of the following software engineering domains would be an advantage:
Web development
System administration
Big data technologies
Container technologies
Data analytics, machine learning and artificial intelligence
Only Singaporeans need apply
Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Government Administration and Industrial Machinery Manufacturing
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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Job Summary:
A professional, who is in charge of establishing, creating, and maintaining data architecture. He/She will make certain that data is efficiently stored, organized, and retrieved to support various corporate operations and decision-making processes with the following attributes
Self-starter with the ability to work independently or as part of a project team
Leads and instruct team and assist other employees in accomplishment of the project.
Ability to articulate/relate complex Technology material to a variety of stakeholders.
Assist in efforts on establishing corporate guidelines, standards, and best practices in the use/deployment of business intelligence solutions.
Key Responsibilities:
Understand the existing landscape, client capabilities and requirements and translate them into data solutions that meet the desired performance, scalability, and availability needs of the customer.
Lead teams in designing and developing data solutions configurations as per the proposed architecture.
Recommend approaches for solving development and integration problems within data warehouse and business intelligence solutions.
Provide strategy direction and design implementation roadmaps.
Be the go-to person for any architecture, design, and development questions.
Very strong in data technologies
Identify and adopt new technologies & methodologies to increase performance, automation, and scalability.
Support the business development activities; shape and design solution architectures for a proposal; attending client meetings with the sales team.
Required:
Experience in Data Engagements, especially leading data strategy, roadmap and implementation
Architecture: Enterprise Data Strategy & alignment to Business Strategy, Transformation Projects, various data and warehouse architecture models, Information flow, Integration/interfacing models/approach, Business Information Models, Logical Data Models, Canonical models, Data Life Cycle Management, Reporting (Analytical, Compliance, Regulatory, Models)
Banking Experience and Domain Knowledge is must
Data Migration: Strategizing, planning, costing, execution, data retention/archival and disposal.
Master Data Management: Strategy & Execution, Multi-domain. Tools: Informatica MDM, Stibo PIM, Talend Data fabric
Data Governance: Data/Information governance capability Assessment (as-is, to-be), Framework design, models, roadmap & Execution
Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin
Design Methodologies: Normalized/De-normalized designs, ER-Models, Star schema models, relational models, Hierarchical models, Inmon and Kimball methodologies
Good to have:
Programming & GUI: MS SQL, PL/SQL, NoSQL, Shell Scripting, VBA, T-SQL, DAX, MS SSRS, Oracle Forms (6i, 9i & 10g), Intellimatch, MS Access
RDBMS: Oracle 9i/10g (SQL,PL/SQL), MS SQL Server 2008/ 2012/2014, Oracle 9i AS/10g
Web/Cloud tools: Site Core, Amazon AWS, WordPress, Google Analytics/GTM reporting
Management Tools: MS Project, MS Office (Access, Excel, Word, PPT), JIRA, rLean
TOGAF for Architecture, DAMA – DMBoK.
Our company culture is based on 7 shared values. Honesty and trust allow collaboration; team spirit and modesty sustain it; and the resulting creative freedom and boldness lead to quality results –especially when infused with a sense of fun In addition to an interesting remuneration package, we offer you a professional and international work environment where you will work on major projects. We provide you with intense professional development and stretch you as much as needed to put your skills into action, learn and progress.
Let's talk about what's in it for you!
Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.
As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:
Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.
Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.
Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.
Recognized by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.
Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.
We are seeking the following role in Singapore: Senior Data Architect
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About Client
Our client is an Reputed MNC
Responsibilities
Develops the overall framework for data integration, including data flow, transformations, and target system integration.
Implements and tests the ETL processes, ensuring accuracy, consistency, and reliability.
Involved in Architectural Design / Data modelling
Defining the overall data strategies.
Skills/Requirement
Experience in Multi cloud
Understanding data structures, schemas, and how to model data effectively.
ETL experience, define solutions to integrate data from various sources.
Knowledge of data warehousing concepts, including star schemas and data models.
Deep understanding of ETL principles, processes, and tools.
Ability to analyze data, identify trends, and create visualizations using ETL tools.
Identifying and resolving data integration challenges and performance issues.
Ability to demonstrate technical concepts to both technical and non-technical stakeholders.
Interested candidates, who wish to apply for the above position, please send in your resume to
We regret to inform that only shortlisted candidates will be contacted
PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Reg No: R (Kankanala Lakshmi Prasanna)
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This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.
All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.
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Join to apply for the
Data Architect
role at
Hyundai Motor Group Innovation Center Singapore (HMGICS)
HMGICS serves as our core manufacturing testbed, focused on building a cutting-edge, software-defined factory for the autonomous and flexible production of future mobility solutions. Within the Technology Innovation Group, the Software & Data Engineering Team develops intelligent systems and environments (IoT, MLOps, visualization, and simulations) to enhance productivity, quality, logistics, and manufacturing. This position plays a crucial role in enabling data-driven decision-making and supporting the organization's overall data strategy.
What To Expect
Provide a high-level, abstract representation of an organization's data requirements.
Design and implement comprehensive data management strategies aligned with business goals.
Apply domain-oriented data architecture (DODA) to structure data around business domains, enabling scalability and flexibility.
Implement data governance policies and data quality control measures.
Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes.
Ensure data security and compliance with relevant regulations.
Create data models and strategies to organize and store data entities efficiently.
Assess existing databases and data architectures for weaknesses and recommend improvements.
What You'll Bring
Bachelor's degree in Computer Science, Information Technology, or a related discipline.
At least 13 years of experience in data architecture and related technologies.
Proficiency in programming languages such as Python, SQL, Java, and C++.
Deep understanding of database management systems and data modeling techniques.
Experience with Big Data technologies, cloud computing platforms, and data analytics tools.
Strong project management and time management skills.
Excellent communication skills to collaborate effectively with various stakeholders.
Ability to develop data pipeline processes to move data from OLTP to OLAP systems.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Motor Vehicle Manufacturing
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We are seeking a highly skilled and experienced Azure Data Architect to design and implement secure, scalable, and high-performing data platform solutions. This role will lead the end-to-end architecture of enterprise-grade data systems, integrating Azure and Microsoft Fabric services with Databricks to drive analytics, AI, and business intelligence initiatives across data, apps, and AI.

• Architecture & Design
  Design and implement modern data platform architectures leveraging:
  Azure Data Lake, Azure Synapse Analytics, Azure Data Factory
  Microsoft Fabric (OneLake, Dataflows Gen2, Pipelines, Direct Lake Mode, Semantic Models)
  Azure Databricks for data engineering, machine learning, and real-time analytics
  Provide architectural direction for enterprise data lakehouse and warehouse environments, including medallion (Bronze/Silver/Gold) designs within Fabric and Databricks.
  Build end-to-end pipelines (ingestion, transformation, modeling, and publishing) using Fabric pipelines and Databricks notebooks.
  Design and deploy Power BI solutions with Direct Lake, Lakehouse, or Warehouse connectivity.
• Governance & Security
  Define data governance, security, and compliance frameworks in collaboration with IT security teams.
  Collaborate with governance teams to integrate Microsoft Purview for data cataloging, classification, lineage, and sensitivity labeling.
  Define and enforce RBAC, managed identity access, private endpoint strategy, and DLP policies across all data services.
  Ensure compliance with regulatory frameworks such as GDPR, PDPA, or HIPAA.
• Performance & Cost Optimisation
  Optimise performance and cost by selecting appropriate storage and compute SKUs, caching, partitioning, and workload management strategies.
  Implement real-time ingestion and streaming solutions using Real-Time Hub and Event Streams in Fabric.
• Collaboration & Leadership
  Work closely with Data Engineers, BI Developers, Data Scientists, and Business Analysts to translate business requirements into technical designs.
  Mentor technical teams in implementing best practices for data architecture, DevOps, and CI/CD automation.
  Participate in cloud transformation initiatives, migrations, and legacy modernization projects.

Core Technical Skills

• Azure Services: Synapse Analytics, Data Factory, Data Lake Gen2, Key Vault, Monitor, Purview, Event Hub, Functions, Storage Accounts, Private DNS
• Microsoft Fabric: OneLake, Pipelines, Notebooks, Semantic Models, Real-Time Hub, Data Activator
• Databricks: Delta Lake, Unity Catalog, MLflow, Delta Live Tables, Job Clusters, Notebooks
• Power BI: Advanced DAX, deployment pipelines, pbip projects, dataset modeling
• Security: Private Endpoints, RBAC, Managed Identity, network isolation, Purview integration
• Infrastructure-as-Code: Terraform, ARM Templates, Azure DevOps or GitHub Actions for CI/CD

Experience

• Minimum 5 years in data architecture or equivalent roles
• At least 3 years of experience in Azure data stack
• Hands-on experience with Microsoft Fabric (public or private preview) and production workloads in Databricks
• Proven experience implementing secure and governed enterprise data platforms

Preferred Certifications

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Fabric Analytics Engineer Associate
• Databricks Certified Data Engineer (Associate/Professional)
• Microsoft Certified: Azure Data Engineer Associate

Soft Skills

• Strong communication and stakeholder management skills
• Analytical mindset with a problem-solving attitude
• Familiarity with Agile and DevOps methodologies
• Ability to work across cross-functional teams in multi-cloud or hybrid environments

• Supporting data requirements including reports and dashboards across workstreams.
• Analyzing and performing data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes.
• Designing and developing the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications.
• Developing data pipeline automation using Azure, AWS data platform and technologies stack, Databricks, Data Factory.

• A Bachelor's degree in Computer Science, Computer Engineer, IT, or related fields.
• Minimum of 4 years' experience in Data Engineering fields.
• Skills in Data Engineering: Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API, Databricks, Azure, AWS.
• Skills in Data Visualization: Power BI (or other visualization tools), DAX programming, API, Data Model, SQL, Story Telling and wireframe design.

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.
As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.
About the Role
As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
Encourage everyone to have a voice and invite opinions from all, including quieter members of the team.
Deal effectively with ambiguous and unstructured problems and situations.
Initiate open and candid coaching conversations at all levels.
Go to person
Move easily between big picture thinking and managing relevant detail.
Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realizes they are required.
Contribute technical knowledge in area of specialism.
Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
Navigate the complexities of cross-border and/or diverse teams and engagements.
Initiate and lead open conversations with teams, clients and stakeholders to build trust.
Uphold the firm's code of ethics and business conduct.
Data Architecture Responsibilities
Design and deliver enterprise and solution data architectures that solve business problems and enable analytics, reporting, and regulatory outcomes.
Define and govern data models, standards, and best practices across conceptual, logical, and physical layers.
Lead data analysis activities, including source system analysis, data profiling, and source-to-target mapping definitions.
Develop and review data models and canonical data definitions; assure model alignment to business capabilities and use cases.
Establish and embed data governance and data quality practices, policies, and controls, including measurement, monitoring, and remediation.
Partner with business stakeholders to translate requirements into scalable data solutions and roadmaps; articulate trade-offs and options.
Oversee non-functional requirements (scalability, performance, security, reliability) and align architecture to target-state principles.
Provide architecture oversight through delivery, ensuring traceability from requirements to design to implementation.
Contribute to reference architectures and reusable patterns (ingestion, curation, access) to accelerate delivery.
About You
More than 10 years of experience in Financial Services centered around data platforms
Experienced in Financial Services, with deep expertise in Banking, Insurance and / or Asset & Wealth data domains welcomed.
Understanding of work involved in delivering a data platform: Source system analysis, data profiling, creating source to target mapping and others
Solid understanding of technology data platform components: Ingestion, Metadata driven pipeline, DQ service, data architecture types e.g. medallion, data mesh etc.
Technical Skills
Data analysis and profiling; source-to-target mapping; data modeling across conceptual, logical, and physical layers.
ETL/ELT and integration patterns; batch and streaming data processing.
Data warehousing approaches; relational and analytical data stores.
Cloud technologies (MS Azure, Databricks, AWS); metadata and lineage; data quality management and controls.
Professional Skills
Results oriented and self-starter
Superior attention to detail
Ability to multitask and work under pressure
Good analytical and communication skills
Strong work ethics
Proficiency in English
Committed and responsible
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We are seeking a highly skilled and experienced
Quantexa Data Architect
to lead the design and implementation of advanced data solutions leveraging the Quantexa platform. The ideal candidate will possess deep expertise in data engineering, entity resolution, and graph analytics, with a proven track record of delivering scalable solutions across financial services, public sector, and RegTech domains.
Key Responsibilities:
Architecture & Implementation:
Design and implement end-to-end data pipelines and entity resolution solutions using Quantexa, Spark, and Scala.
Architecture & Implementation:
Architect real-time streaming solutions utilizing Kafka, Flink, and Kubernetes.
Team Leadership & Collaboration:
Lead cross-functional teams of data engineers, analysts, and developers to deliver contextual data insights and graph analytics.
Collaborate with stakeholders to gather requirements, conduct workshops, and translate business needs into technical specifications.
Data Quality & Monitoring:
Ensure data quality and integrity through profiling, validation, and automated testing frameworks.
Develop and maintain monitoring dashboards using Grafana, Prometheus, Qlik Sense, and Tableau.
Innovation & Optimization:
Drive innovation by exploring and implementing emerging technologies in Big Data, cloud computing, and network analytics.
Optimize data architecture for performance, scalability, and reliability.
Job Requirements:
Bachelor’s degree in Information Technology, Computer Science, or a related field.
8+ years of experience in data architecture, engineering, and analytics.
Quantexa Certified Data Engineer and Business Analyst.
Strong proficiency in Scala, Spark (including PySpark), Kafka, Flink, and AWS services.
Experience in graph and network analytics, entity resolution, and fraud detection.
Hands-on experience with visualization tools such as Qlik Sense, Tableau, Grafana.
Familiarity with SQL (PostgreSQL, MS SQL Server, Oracle DB) and NoSQL databases (Cassandra, DynamoDB).
Knowledge of Kubernetes/OpenShift, ElasticSearch, and Logstash.
Excellent communication, leadership, and stakeholder management skills.
Preferred Skills:
Experience in financial services, asset management, public sector, or RegTech.
Background in Agile and Waterfall project delivery methodologies.
Ability to design business and reporting architectures and conduct functional testing.
Proficiency in Python, Shell scripting, and data modeling.
Certifications:
Quantexa Data Engineer & Business Analyst
Qlik Sense Data Architect
AWS Cloud Practitioner
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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