Data Architect

Job Description

Description - An effective Data Architecture and Data Management strategy is critical to delivering on our business objectives, reducing costs, lowering risk, increasing performance and providing transparency required by various stakeholders. The Data Architect will work as part of the Data Architecture team to meet strategic deliverables by agreeing and delivering artefacts such as the Business Entity Model, State Model, Controlled Vocabulary and Communication Schemas, and govern their implementation and traceability from Logical and Physical schemas.The Data Architect will be considered the Subject Matter Expert on Data and Data Architecture and Management working closely and collaboratively with the project development teams, maintaining data quality and ensuring that the design is implementable and that delivery is consistent with the agreed design. The Data Architect will also work with Architecture teams on standards, tooling and assurance of ongoing Data Architecture deliverables such as Data Lineage, Lifecycle Management, Quality Monitoring and Metadata Management.Essential Requirements: Solid data fundamentals and strong working knowledge and experience of Data Modelling and Meta-modelling or use of alternative Data Modelling tools such as Erwin, Power Designer and MagicDraw Strong experience with major technology implementation projects, ideally with a strong data orientation Working knowledge of modern data technologies including NoSQL, ELT (and ETL) and cloud storage. Knowledge of various Data Architecture options including ODS, Data Lake, Data Warehousing, OLTP, Data Vault and OLAP Strong Treasury/Payments domain knowledge is preferred. Experience in creating, contributing to and reviewing Architecture and Development artefacts such as Logical Data Model s Experience of Data and Data Architecture processes and the development of artefacts such as Controlled Vocabulary, Ontology, Taxonomy, Business Information Model, Logical and Physical Data Modelling. Knowledge of core Data Architecture capabilities, including Master and Reference Data Management, Data Quality (DQ), Metadata Management, Data Taxonomy, Data Integration, Data Migration and Data Modelling Knowledge of and preferably development with industry standard models such as ISO 20022, FIBO and IBM IFW. Knowledge of different data modelling methodologies such as 3NF, Denormalized (Star Schema), Data Vault, XML Schema etc. with the ability to read and understand data models presented in a variety of formats. Ability to collaborate with business teams in order to understand, translate, review and playback requirements into Logical Data Models, Interface Specifications, Taxonomies and Controlled Vocabularies. Ability to understand, communicate and operate at Business, Technical, Application and Technology levels of Data and Data Architecture. Assist with the definition and documentation of current state and future state Data Architecture models. Assist with the definition, communication and implementation of data policies, standards and processes Collaborate on and design conceptual and logical data models and support the physical realization of the models to achieve target state architecture objectives. Develop, own and manage the data modelling best practices, patterns and standards. Ensure appropriate enterprise data/information policies, principles and standards are adhered to and implemented throughout project delivery Contribute and assist the Lead Data Architecture SME and Design Authority, with ability to forge and develop relationships with key business stakeholders and development teamsQualifications/Skills Bachelors Degree in Computer Science or appropriate career experience Hands-on Cloud experience (AWS Certification preferred) Ability to drive results in a fast-paced, challenging environment Ability to create and use data modelling artefacts to communicate Product, Sales and Operations teams and translate to physical implementation requirements for software engineers. Strong collaboration and relationship management skills to work effectively across a wide range of stakeholders to gain buy-in and drive progress Ability to work independently, taking a leadership role on specific efforts Ability to multi-task, moving easily between strategy and execution Strong verbal and written communication skills must be able to synthesize data into concise messages for leadership Excellent analytical & problem-solving skills Outstanding attention to detail, follow-up skills and results-orientation Key Skills: Data Architect Description - An effective Data Architecture and Data Management strategy is critical to delivering on our business objectives, reducing costs, lowering risk, increasing performance and providing transparency required by various stakeholders. The Data Architect will work as part of the Data Architecture team to meet strategic deliverables by agreeing and delivering artefacts such as the Business Entity Model, State Model, Controlled Vocabulary and Communication Schemas, and govern their implementation and traceability from Logical and Physical schemas.The Data Architect will be considered the Subject Matter Expert on Data and Data Architecture and Management working closely and collaboratively with the project development teams, maintaining data quality and ensuring that the design is implementable and that delivery is consistent with the agreed design. The Data Architect will also work with Architecture teams on standards, tooling and assurance of ongoing Data Architecture deliverables such as Data Lineage, Lifecycle Management, Quality Monitoring and Metadata Management.Essential Requirements: Solid data fundamentals and strong working knowledge and experience of Data Modelling and Meta-modelling or use of alternative Data Modelling tools such as Erwin, Power Designer and MagicDraw Strong experience with major technology implementation projects, ideally with a strong data orientation Working knowledge of modern data technologies including NoSQL, ELT (and ETL) and cloud storage. Knowledge of various Data Architecture options including ODS, Data Lake, Data Warehousing, OLTP, Data Vault and OLAP Strong Treasury/Payments domain knowledge is preferred. Experience in creating, contributing to and reviewing Architecture and Development artefacts such as Logical Data Model s Experience of Data and Data Architecture processes and the development of artefacts such as Controlled Vocabulary, Ontology, Taxonomy, Business Information Model, Logical and Physical Data Modelling. Knowledge of core Data Architecture capabilities, including Master and Reference Data Management, Data Quality (DQ), Metadata Management, Data Taxonomy, Data Integration, Data Migration and Data Modelling Knowledge of and preferably development with industry standard models such as ISO 20022, FIBO and IBM IFW. Knowledge of different data modelling methodologies such as 3NF, Denormalized (Star Schema), Data Vault, XML Schema etc. with the ability to read and understand data models presented in a variety of formats. Ability to collaborate with business teams in order to understand, translate, review and playback requirements into Logical Data Models, Interface Specifications, Taxonomies and Controlled Vocabularies. Ability to understand, communicate and operate at Business, Technical, Application and Technology levels of Data and Data Architecture. Assist with the definition and documentation of current state and future state Data Architecture models. Assist with the definition, communication and implementation of data policies, standards and processes Collaborate on and design conceptual and logical data models and support the physical realization of the models to achieve target state architecture objectives. Develop, own and manage the data modelling best practices, patterns and standards. Ensure appropriate enterprise data/information policies, principles and standards are adhered to and implemented throughout project delivery Contribute and assist the Lead Data Architecture SME and Design Authority, with ability to forge and develop relationships with key business stakeholders and development teamsQualifications/Skills Bachelors Degree in Computer Science or appropriate career experience Hands-on Cloud experience (AWS Certification preferred) Ability to drive results in a fast-paced, challenging environment Ability to create and use data modelling artefacts to communicate Product, Sales and Operations teams and translate to physical implementation requirements for software engineers. Strong collaboration and relationship management skills to work effectively across a wide range of stakeholders to gain buy-in and drive progress Ability to work independently, taking a leadership role on specific efforts Ability to multi-task, moving easily between strategy and execution Strong verbal and written communication skills must be able to synthesize data into concise messages for leadership Excellent analytical & problem-solving skills Outstanding attention to detail, follow-up skills and results-orientation,

Keyskills :
etlinformaticadata modelingerwinunixcore dataxml schemadata vaultdata modelsdata qualitydrive resultsstatements of work sow