Data Architect - MARC

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Employment Type

Full Time

Job Location

Malaysian Rating Corporation Berhad 19-07, Level 19, Q Sentral, 2A Jalan Stesen Sentral 2, Kuala Lumpur, 50470 Kuala Lumpur Sentral, Malaysia.

Date Posted

13 Feb 2023

Valid Through

30 Jun 2023

Data Architect

Description

We are a credit reporting agency and data-driven business information and business-decisioning solutions company. Our mission is to help businesses make informed and verified decisions to drive business growth by leveraging on data analysis. We are a fast-paced, growing start-up and are looking for a Data Architect who has experience with designing, building, and managing enterprise data and reporting platforms from scratch. You will have the opportunity to be part of a dynamic team and take ownership of the data architecture for our company. With a unique opportunity to shape our data infrastructure from the ground up, we need someone who is excited about the challenge of building something new and has a proven track record of success in similar roles.

Responsibilities

Design, document, and implement solutions throughout the data stack, including warehousing, modelling, and business intelligence

Play an integral role in developing a company wide data governance program. Responsible for defining, developing, and maintaining effective and efficient data architecture and data ownership. Create and define data infrastructure policies, procedures and processes

Coordinate and collaborate with different teams, stakeholders, and vendors for the smooth functioning of the enterprise data system

Collaborate with business, product, and engineering leaders to understand business opportunities, help shape and drive the development of data infrastructure, data integration and data warehousing platforms

Architect data warehouse with elegant design thinking approach. Develop and automate pipelines and tools to enable streamlined and robust operation

Oversee data asset storage, cataloguing, discoverability, and meta-data management

Act as subject matter expert on how data flows between systems within the organization and the trade-offs between providing a full BI solution versus enabling ad hoc data analysis

Help define and implement monitoring of metrics for measuring data availability, usage, and team efficacy

Improve the stability and performance of data infrastructure using operational data and an observability mindset

Drive and encourage conversations based on data strategy and engineering principles to create alignment across the team, department, and wider organization

Create implementation plans and iterative milestones for architectural decisions and technical initiatives

Foster a culture of iterative deployability with awareness of cycle time and failure rates

Use a systematic approach to debugging to diagnose issues within the data infrastructure

Implement observability solutions and write tests to ensure application quality and stability

Ensure code meets defined acceptance criteria and consistently evangelize and educate team members about established best practices

Develop a system that enforces style, process, and guidelines for developing a new data model

Consistently produce production-ready code that is easily testable, easily understandable, and accounts for edge cases and errors, using comments and other documentation strategies where appropriate

Any other task assigned by management

Qualifications

An undergraduate or post graduate degree in computer science or a related field of study

Preferably a minimum 8 years of relevant working experience

To be able to work creatively and analytically in a problem-solving environment

Self-motivated and independent, able to work with minimum supervision and to work well with stakeholders and project staff

A self-starter with a passion for working in a fast-paced and demanding startup environment

Work effectively with all other colleagues e.g. from the development team, business analysts, security, risk and compliance

Able to translate business priorities and objectives into technical solutions

Ability to plan and organize technical work and deliverables

Ability to follow guidelines and adhere to the established software development standards

Ability to prioritize and multi-task across numerous work streams

Strong interpersonal skills, strong verbal, written, communication and presentation skills

Strong knowledge of best practices through relevant experience across data-related disciplines and technologies particularly for enterprise wide data architectures and data warehousing/BI

Applicants must be willing to accept that the default working arrangement is to work in the corporate office of MARC Data