Filtrona is a global market leader in the design, testing and manufacturing of specialist filters, tear tapes and related scientific services. With head office in Singapore, Filtrona has 10 manufacturing facilities across Europe, America and Asia, together with 3 innovation centers, an accredited laboratory and a centre of excellence focused on sustainability. The company has over 2000 employees serving customers across 120 countries.
Reporting into the Technology Director, the Data and BI Architect is a subject matter expert and data champion, with previous experience and accountability of delivering scalable solutions and enterprise data models across business applications, reporting and analytics domains.
This individual will work closely with the Enterprise Architect, BI Analysts, Application and Data owners, taking ownership of the global data design and modelling activities in establishing robust dictionaries, data integration documentation, migration mapping, master and reference data landscapes within the existing architecture and transformational initiatives.
Functions and processes include:
(1) Data flow governance: Cataloguing of data objects and interfaces
(2) Master data and reference data modelling
(3) Data Warehousing and Integration design
(4) Migration planning and mapping
(5) Modern BI and Analytics architecture design and delivery
- Data flow accountability: responsible for ensuring data flowing through source systems, ERP, and various platforms
- Target data architecture design supported by scalable environments, well-defined artefacts, data and interface catalogues, lineages, procedures, and standards collectively enabling seamless end-to-end orchestration and continuous delivery
- Business Analysis / Requirements Capture: provide guidance during capturing and translating business processes into physical data models, ensuring a scalable and extensible design is adhered
- In conjunction with business and technology transformation activities, define data platform capabilities aligned with current and future business models
- Oversight of data integration design and delivery initiatives including ingesting, transforming, staging, and consuming large amounts of structured and semi-structured data both on-premises and on cloud with knowledge of potential pain points
- Strong understanding of data modelling in both online transaction processing (OLTP) and online analytical processing (OLAP) applications, across manufacturing and supply chain management
- Create comprehensive technical documentation for proposed technology solutions and components.
- Drive data environment rationalization to standardize, streamline, and simplify the current landscape.
- Act as the focal point for Data Solution Architecture internally and in communication with data owners and BI analysts.
- Building strong relationships with teams and stakeholders to enable effective dialogue exchange between departments.
Ideally, you should possess the following:
- Degree in IT, MIS, Data Science or Certification in Data Architecture / Data Engineering
- 8+ years of experience in data architecture or related field
- A broad understanding of data environments, technologies, BI stacks, ETL and data visualization tools e.g. SQL Server, SQL Management Studio, SSRS, SSIS, SSAS, PowerBI
- Experience using and implementing hi-performing global data warehouses, data marts using MS Azure data components e.g. Data Factory, Azure Data Lake
- Proven experience in delivering end-to-end cloud data platform solutions using modern agile methodologies, data pipelines, serverless orchestration and CI/CD development processes
- Experience operating with an engineering, agile and DevOps mindset
- Extensive experience of successfully and confidently engaging with senior stakeholders and being able to translate the key business drivers and requirements into Data Models and Solution Design
- Strong knowledge of data modelling and database and data warehouse design principles.
- Familiarity with data governance and security best practices
- Exceptional customer-facing, presentation and influencing skills
- Capacity to train and guide other team members and business teams on best practices data literacy
- Ability to manage and prioritize tasks efficiently
- Excellent third party and stakeholder management
