Data Platform Manager
- Thỏa thuận
- Toàn thời gian
Hạn nộp hồ sơ: 31/12/2026 (Còn 53 ngày)
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Data Platform Manager oversees the design, development, security, and operation of an organization's data infrastructure (warehouses, pipelines, lakes) to ensure scalable, reliable data availability for analytics and AI. Will lead data engineering teams, set the technical roadmap, manage vendor relationships, and align data strategy with business goals.
The Data Platform Manager is responsible for the development and operation of the Data Platform,including its availability, architecture, security, operational and development team, associated costs and budget, levels of technical debt, disaster recovery, backups and its strategic roadmap. Decision-Making Scope:
Infrastructure & Strategy: Own end-to-end data platform architecture across cloud/on-prem environments (AWS, Azure, GCP, Snowflake), ensuring high availability, security, and performance.
Team Leadership: Manage, mentor, and hire data engineers, cultivating a DevOps culture of innovation and high performance.
Stakeholder Management: Collaborate with analytics, data science, and business units to translate data requirements into scalable technology solutions.
Data Governance: Enforce data quality standards, privacy regulations, and compliance across all data pipelines.
Operations & Budget: Oversee platform budget, manage vendor relationships, and lead incident management/root cause analysis for data issues
Engage, coach and inspire a highly skilled team of data engineers; to ensure capacity and skills align with the evolving needs of the organisation
Strong technical leadership and strategic decision making around the Data and Analytics platforms
Seamlessly integrate Agile methodologies with DevOps practices to streamline development and deploymentcycles.
Oversee and approve platform budget, architecture, quality, security, and supplier implementation to guarantee optimal performance and alignment
Establish and maintain strong relationships with internal and external stakeholders, taking a lead role in project management activities when required.
Lead the evolution of capabilities of the technical stack underpinning the Data platform, platform engineering, Reporting Analytics, Integrations and deployment processes
Hands on expertise in creating, managing optimising data pipelines and reporting environments.
Ensuring platform quality assurance, delivery prioritisation and requirements processes
Manage and govern multiple large, sensitive and high value data assets
Assist with the planning, acquisition, storing, organising, destroying and archiving of all data
Level 2 and 3 Issue Management and Service Request fulfilment processes
Managing lifecycle of all Data, Reporting and Analytical platform applications and databases
Managing Source code, technical and user documentation libraries
Data Platform security, availability and auditability
Managing technical aspects of any Data platform or Data integration related initiatives
Stakeholder and expectation management for platform capabilities
AI capability building in the team and evaluation of use cases for delivery
Future planning for all platforms in consultation with industry trends
The Data Platform Manager is responsible for the development and operation of the Data Platform,including its availability, architecture, security, operational and development team, associated costs and budget, levels of technical debt, disaster recovery, backups and its strategic roadmap. Decision-Making Scope:
Infrastructure & Strategy: Own end-to-end data platform architecture across cloud/on-prem environments (AWS, Azure, GCP, Snowflake), ensuring high availability, security, and performance.
Team Leadership: Manage, mentor, and hire data engineers, cultivating a DevOps culture of innovation and high performance.
Stakeholder Management: Collaborate with analytics, data science, and business units to translate data requirements into scalable technology solutions.
Data Governance: Enforce data quality standards, privacy regulations, and compliance across all data pipelines.
Operations & Budget: Oversee platform budget, manage vendor relationships, and lead incident management/root cause analysis for data issues
Engage, coach and inspire a highly skilled team of data engineers; to ensure capacity and skills align with the evolving needs of the organisation
Strong technical leadership and strategic decision making around the Data and Analytics platforms
Seamlessly integrate Agile methodologies with DevOps practices to streamline development and deploymentcycles.
Oversee and approve platform budget, architecture, quality, security, and supplier implementation to guarantee optimal performance and alignment
Establish and maintain strong relationships with internal and external stakeholders, taking a lead role in project management activities when required.
Lead the evolution of capabilities of the technical stack underpinning the Data platform, platform engineering, Reporting Analytics, Integrations and deployment processes
Hands on expertise in creating, managing optimising data pipelines and reporting environments.
Ensuring platform quality assurance, delivery prioritisation and requirements processes
Manage and govern multiple large, sensitive and high value data assets
Assist with the planning, acquisition, storing, organising, destroying and archiving of all data
Level 2 and 3 Issue Management and Service Request fulfilment processes
Managing lifecycle of all Data, Reporting and Analytical platform applications and databases
Managing Source code, technical and user documentation libraries
Data Platform security, availability and auditability
Managing technical aspects of any Data platform or Data integration related initiatives
Stakeholder and expectation management for platform capabilities
AI capability building in the team and evaluation of use cases for delivery
Future planning for all platforms in consultation with industry trends
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