Data Architect

  • Post Date: September 7, 2022
  • Isle of Man
Job Description

Role Responsibilities:
– Develop and evolve the enterprise-wide data strategy to support delivery of corporate objectives
– Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise-wide data strategy
– Build a framework of principles to ensure data integrity across the business (including but not limited to ERP, CRM, BI, Data warehouse, external interfaces etc.)
– Ensure that the Data Architecture strategy and roadmap is aligned to the business and technology strategies.
– Build and maintain appropriate Enterprise Architecture artefacts including; Entity Relationship Models, Data dictionary, taxonomy to aid data traceability
– Provide technical oversight to solution delivery in creating business driven solutions adhering to the enterprise architecture and data governance standards
– Be an advocate of data security principles and ensure appropriate security practices are embedded in any data strategy
– Be an active contributor to how the company evolves Data Governance practices and influence the adoption of data standards
– Develop key performance measures for data integration and quality
– Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture

Skills & Experience Required:
– Proven experience in architecting and implementing Business Intelligence and Data warehouse platforms, Master data Management, data integration and OLTP database solutions.
– Possess in-depth knowledge of and able to consult on various technologies
– Strong knowledge of industry best practices around data architecture in both cloud based and on premise solutions.
– Strong analytical and numerical skills are essential, enabling easy interpretation and analysis of large volumes of data.
– A comprehensive understanding of the principles of and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache & In-memory stores.
– Experience of architecting data solution across hybrid (cloud, on premise) data platforms.
– A comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes, OLAP processing and tabular models.
– Knowledge of SSRS and Power BI.
– Knowledge of Data Science tools (e.g., Python, R) and an understanding of machine learning.
– Knowledge of big data tools (e.g. Apache Hadoop, Apache Spark, MongoDB)
– Experience of implementing data solutions
– Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including; normalisation, OLAP / OLTP principles and entity relationship analysis
– Experience of mapping key Enterprise data entities to business capabilities and applications A strong knowledge of horizontal data lineage from source to output Excellent communication and presentational skills, confident and methodical approach, and able to work within a team environment