- Toa Payoh Central Region (Singapore) Singapore
NTT SINGAPORE PTE. LTD. Hiring! Full Time Senior Data Lakehouse Technology Delivery Manager_ Contract in Central Region (Singapore), Earn up to SGD 12,000 - Ricebowl
Senior Data Lakehouse Technology Delivery Manager_ Contract
NTT SINGAPORE PTE. LTD.
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Job Description
Responsibilities
Contract Duration:
12 months
Seniority:
L4 – More than 10 years of relevant experience
Working Arrangement:
Onsite (
5 days from office
)
Headcount:
1
Role Overview
We are seeking a senior Data & Analytics Technology Delivery Manager with extensive experience delivering enterprise Data Lakehouse platforms within complex, regulated environments. The role requires a combination of Data Lakehouse architecture knowledge, data engineering depth and end-to-end technical delivery leadership.
Responsibilities
Lead end-to-end delivery of enterprise Data Lakehouse and analytics platforms supporting batch, real-time, BI and AI/ML workloads.
Design and deliver data solutions incorporating Data Lakehouse, Data Mesh and federated data architecture concepts.
Coordinate data ingestion, transformation, integration, data-serving layers, APIs and analytical applications.
Manage technical dependencies across data engineering, application, infrastructure, analytics and security teams.
Drive technical planning, SIT, UAT, performance/security testing, implementation, production cutover and post-production support.
Establish engineering, DataOps/MLOps, CI/CD, security and data-governance standards.
Lead Data Engineers, BI Developers, Data Scientists and ML Engineers.
Manage technical risks, issues and dependencies and provide delivery updates to project and senior stakeholders.
Ensure solutions meet enterprise security, governance, audit and regulatory requirements.
Technical Requirements
10+ years' experience in Data & Analytics technology
, including
5+ years in senior technology delivery
.
Strong implementation experience with
enterprise Data Lakehouse architecture
.
Strong experience with
Databricks and/or Snowflake
, together with
Apache Spark
.
Experience with
Kafka / streaming data integration
and batch data-processing architectures.
Strong working knowledge of
Python, SQL
and enterprise data engineering.
Experience with enterprise data integration technologies such as
Informatica or Talend
.
Experience with
Teradata, Cloudera or equivalent enterprise analytical/data platforms
.
Understanding of
Data Mesh, data governance, data modelling and federated data architectures
.
Exposure to
DataOps/MLOps, CI/CD and Kubernetes/OpenShift
.
Experience delivering BI/analytics solutions using platforms such as
Power BI or Qlik
.
Experience delivering data platforms within
banking/financial services or another highly regulated environment
.
Ability to lead multidisciplinary Data Engineering, BI, Analytics and AI/ML teams.
Education
Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline.
Relevant Data, Cloud or Enterprise Architecture certifications are advantageous.
Interested candidates are kindly requested to email their CV with their experience to
*************
We look forward to your application!
NTT Singapore Pte Ltd (NTTS)
is the regional headquarters of NTT Communications Corporation (NTT Com) for Asia Pacific Region.
Established in 1997, NTT Singapore has more than 10 years of expertise in providing information and communications technology (ICT) solutions worldwide.
NTT Singapore offers diverse high-quality connectivity, data centre solutions, security services, IT management services, voice and conferencing solutions and solution integration services to its enterprise customers.
NTT Communications is a wholly owned subsidiary of Nippon Telegraph and Telephone Corporation (NTT Corp.), one of the world’s largest providers of telecommunications services.
In 2013, NTT Corp. is ranked no.1 in telecom industry in the Fortune Global 500* list with operating revenues of more than $133,077 million. It is positioned 32nd among the top 500 corporations worldwide.
NTT Com's extensive global infrastructure includes Arcstar secure private networks, which cover 196 countries/regions and a tier-1 IP backbone network connected with major ISPs worldwide, as well as secure data centers at over 150 locations worldwide.
12 months
Seniority:
L4 – More than 10 years of relevant experience
Working Arrangement:
Onsite (
5 days from office
)
Headcount:
1
Role Overview
We are seeking a senior Data & Analytics Technology Delivery Manager with extensive experience delivering enterprise Data Lakehouse platforms within complex, regulated environments. The role requires a combination of Data Lakehouse architecture knowledge, data engineering depth and end-to-end technical delivery leadership.
Responsibilities
Lead end-to-end delivery of enterprise Data Lakehouse and analytics platforms supporting batch, real-time, BI and AI/ML workloads.
Design and deliver data solutions incorporating Data Lakehouse, Data Mesh and federated data architecture concepts.
Coordinate data ingestion, transformation, integration, data-serving layers, APIs and analytical applications.
Manage technical dependencies across data engineering, application, infrastructure, analytics and security teams.
Drive technical planning, SIT, UAT, performance/security testing, implementation, production cutover and post-production support.
Establish engineering, DataOps/MLOps, CI/CD, security and data-governance standards.
Lead Data Engineers, BI Developers, Data Scientists and ML Engineers.
Manage technical risks, issues and dependencies and provide delivery updates to project and senior stakeholders.
Ensure solutions meet enterprise security, governance, audit and regulatory requirements.
Technical Requirements
10+ years' experience in Data & Analytics technology
, including
5+ years in senior technology delivery
.
Strong implementation experience with
enterprise Data Lakehouse architecture
.
Strong experience with
Databricks and/or Snowflake
, together with
Apache Spark
.
Experience with
Kafka / streaming data integration
and batch data-processing architectures.
Strong working knowledge of
Python, SQL
and enterprise data engineering.
Experience with enterprise data integration technologies such as
Informatica or Talend
.
Experience with
Teradata, Cloudera or equivalent enterprise analytical/data platforms
.
Understanding of
Data Mesh, data governance, data modelling and federated data architectures
.
Exposure to
DataOps/MLOps, CI/CD and Kubernetes/OpenShift
.
Experience delivering BI/analytics solutions using platforms such as
Power BI or Qlik
.
Experience delivering data platforms within
banking/financial services or another highly regulated environment
.
Ability to lead multidisciplinary Data Engineering, BI, Analytics and AI/ML teams.
Education
Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline.
Relevant Data, Cloud or Enterprise Architecture certifications are advantageous.
Interested candidates are kindly requested to email their CV with their experience to
*************
We look forward to your application!
NTT Singapore Pte Ltd (NTTS)
is the regional headquarters of NTT Communications Corporation (NTT Com) for Asia Pacific Region.
Established in 1997, NTT Singapore has more than 10 years of expertise in providing information and communications technology (ICT) solutions worldwide.
NTT Singapore offers diverse high-quality connectivity, data centre solutions, security services, IT management services, voice and conferencing solutions and solution integration services to its enterprise customers.
NTT Communications is a wholly owned subsidiary of Nippon Telegraph and Telephone Corporation (NTT Corp.), one of the world’s largest providers of telecommunications services.
In 2013, NTT Corp. is ranked no.1 in telecom industry in the Fortune Global 500* list with operating revenues of more than $133,077 million. It is positioned 32nd among the top 500 corporations worldwide.
NTT Com's extensive global infrastructure includes Arcstar secure private networks, which cover 196 countries/regions and a tier-1 IP backbone network connected with major ISPs worldwide, as well as secure data centers at over 150 locations worldwide.
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