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Manager, Data Architect - DFS5218177 in Singapore at DFS

Date Posted: 4/24/2019

Job Snapshot

Job Description

DFS is rapidly transforming its information systems landscape to drive interesting business initiatives which has dependencies on how effectively data assets are being managed. In this role we are looking for the data architect to lead the DFS data architecture roadmap across new and legacy technology areas through collaboration with Business Partners, Solution Architects, Business Analysts, and Infrastructure team and drive the business value by building the re-usable data assets and improve data quality. If you are passionate about the data and governance around data and want to be part of developing the data-driven culture, then we are looking for you!

Key Responsibilities:
Lead the Data Architecture activities spearheaded by Enterprise Architecture Team - Design and develop the architecture roadmap for big data platforms including data modelling, data security, master data management, etc. - Design data models and associated metadata for mission critical and high-volume data systems, real-time and distributed data processing systems, data lakes/data warehouse - Work with systems and project teams in the overall IT solution, with the responsibility to ensure successful data design and implementation - Leading the teams to conceptualize, build and maintain the Data Infrastructure for relational as well as Big Data Infrastructure to deliver a high-performance Data Environment to process Retail, Digital, Supply Chain, and Customer Data from various partners. - Being responsible for Data Warehousing Design, Data Integration Processes, Database Resource Planning, Infrastructure Performance, Data Governance and Security Management as well as design, architecture, implementation, and documentation of new, scalable ETL processes, pipelines, pathways and dimensional data models. - Work with Data Scientist, Business Consultant and Frontend Developer to build scalable Data Analytics Apps using advanced analytics. - Audit and QA data and processes to ensure data quality and integrity throughout the data ecosystem - Design technology stack that can support Data Governance people and processes - Supervise Data Governance technical team removing roadblocks and mentoring the team to accelerate knowledge and Data Governance maturity. - Participate and lead data requirement gathering sessions with subject matter experts, data analyst/scientists, user communities, and other IT stakeholders - Responsible for data profiling, data analysis, data specification, data flows mapping, business logic documentation associated with new or modified data capture requirements - Navigate challenges in terms of uncertainty and focus on delivering high value at any given time - Communicate risks and issues to different stakeholders including senior/executive management

Key Requirements:
An ideal candidate will have the following characteristics:
• BS in Computer Science or equivalent
• You have 10-15 years hands-on experience and a passion for data architecture in a big data environment, data warehousing, ETL Processes and related services as well as experience and a very good understanding of supporting technologies.
• Fluency in English language
• You should have a minimum of 3-5 years of designing and implementing Data Governance tools from a business perspective
• Minimum 3 years working with visualization tools, data ingestion tools, API knowledge and has successfully executed application integrations
• Ideal candidate will understand how people, process and technology can come together to enable advanced analytics, Data Science and data management
• Experience in data quality, data governance, and supporting tools
• Proven experience of cross functional leadership in complex organizations with strong emphasis on influencing and collaboration
• Ability to translate strategy into an operational plan and can execute delivering consistent value to DFS
• You feel comfortable in developing on your own but also in working with a team of developers
• You like to work in a dynamic environment and collaborate with teams to build exciting new Data Products
• You have very good experience in Database Technologies, like SQL and Big Data Technologies and Database Performance Tuning