Vp - Data Architect

1 week ago

Singapore The Edge Asia Full time

The group has a vacancy for a Vice President -Data Architect in the Singapore office; the role is a permanent position

**Work Location: CBD, Singapore**
**Work Arrangement: Hybrid**

EA Licence Number: 16S8131
Recruiter Licence Number: R22104669

**Some of the key responsibilities will include**:

- Contribute and support the roadmap to transform data architecture focusing on scalability, performance, and flexibility throughout the entire data life cycle (ingestion, storage and consumption).
- Maintain data architecture framework, standards and principles including modelling, metadata, security, master, and reference data
- Understand the different business use cases and patterns to provide concrete design for current and future needs
- Work closely with data engineering team, business analysts and support the design aligning with the bank’s data architecture standards and principles
- Contribute and support reference architecture as a set of patterns that can leveraged by diverse parts of the direction to create and improve data systems.
- Take a lead in architectural designs solution context diagram and conceptual data model to optimize security, information leverage and reuse, integration, performance, and availability and ensure solutions developed adhere and aligns to the delivered architecture.
- Provide training and share best practices across teams regarding data architecture design and solution implementation including review and quality assurance.
- Support operationally and provide architecture direction, input and governance into O &T groups including design, architecture, and development for the data platform This includes remediation, testing, data migration, system cutover, decommissioning and platform roadmaps.

**To be eligible for this role you will require**:

- Possess a Bachelor’s Degree in Computer Science/ Engineering or a related discipline with a minimum of 12 years of working experience in the technology space and has taken on a leadership role before.
- **Have at least 5 years of experience in designing and building high performance resilient data architectures.** Have a good understanding and has worked on data architecture, understand how data architecture would fit in with data engineering & data science.
- At least 2 years of experience in implementing data governance, standards and principles.
- **Has worked on and familiar with Data Architecture / Governance design on the Cloudera Machine Learning platform is required.**:

- Strong Experience with traditional data technologies (ODS, Data Lake, Data Warehouse. Data Lakehouse).
- Track record in successfully building container-based big data architectures on top of Kubernetes.
- Knowledge in designing systems to efficiently handle real-time and batch use-cases.
- Exposure and understanding in the latest open-source technologies across the big data ecosystem, such as distributed storage, real-time event processing and large scale distributed OLAP engines.
- Concept exposure to CDC, Data as a Service, data tokenisation, homomorphic encryption, data virtualization, data fabric and data mesh
- Working knowledge of Analytics, AI and data science processes and best practices, with experience in building scalable architectures using data science workflow orchestrators
- **Working knowledge of architecture design of solutions for large ERP projects and programs; through expert knowledge translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards.**:

- Understand DevOps / DataOps / MLOps concepts
- Familiarity with working in agile and waterfall approaches
- In-depth understanding and knowledge of business and technology trends
- Expertise in RDBMS (Teradata/Oracle, PostgreSQL, Vertica etc), PL/SQL, data modeling & ETL/ELT, Snowflake, SingleStore or similar platforms
- Experience in performance tuning, capacity planning and sizing
- Embodies a collaborative approach in bringing both business and technology stakeholders together to deliver technology solutions that enable tangible business benefits
- Data Integration & Federation: e.g. Informatica BDE, Python and other scripting and integration technologies
- Data Repositories: e.g. SQL Server, Google BigQuery, Amazon Redshift, cloud storage

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