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{"id":93469,"date":"2022-09-13T10:29:50","date_gmt":"2022-09-13T07:29:50","guid":{"rendered":"https:\/\/wathefty.com\/jobs\/2022\/09\/13\/data-architect-8\/"},"modified":"2022-09-13T10:29:50","modified_gmt":"2022-09-13T07:29:50","slug":"data-architect-8","status":"publish","type":"post","link":"https:\/\/wathefty.com\/jobs\/2022\/09\/13\/data-architect-8\/","title":{"rendered":"Data Architect"},"content":{"rendered":"<p>Data Architect\t<\/p>\n<h2>\u0627\u0644\u0648\u0635\u0641 \u0627\u0644\u0648\u0638\u064a\u0641\u064a<\/h2>\n<p>REPORTS DIRECTLY TO: Senior Manager System Architecture<\/p>\n<p>JOB PURPOSE:<\/p>\n<ul>\n<li>Develop and evolve the enterprise-wide data strategy to support the delivery of organizational objectives<\/li>\n<li>Building Data solution aligned with Target Data Architecture and implementation data architecture principles and standards within the bank.<\/li>\n<li>Architecting Customer Event Streaming , data contextualization and real-time analytics platform<\/li>\n<li>Be a key stakeholder and advisor in all the new strategic data initiatives and ensure alignment to the enterprise-wide data strategy<\/li>\n<\/ul>\n<p>KEY RESPONSIBILITIES:<\/p>\n<ul>\n<li>Ability to build and contribute to data streaming platform  <\/li>\n<li>Championing a Data-as-an-Asset mindset across the group; training the team<\/li>\n<li>Provide technical oversight to solution delivery in creating business-driven solutions adhering to the enterprise architecture and data governance standards<\/li>\n<li>Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards<\/li>\n<li>Define and design &#8211; Information infrastructure, information life cycle  associated to EMI<\/li>\n<li>Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture<\/li>\n<li>Build a framework of principles to ensure data quality, integrity across the business (including but not limited to Core, Payments, Digital Banking, Customer 360, BI, Data warehouse, external interfaces, etc.)<\/li>\n<li>Ensure that the Data Architecture strategy and roadmap are aligned to the business and technology strategies.<\/li>\n<li>Exploring data sources to understand whether they can add value to products<\/li>\n<li>Design platform that will improve data quality, metadata management, data governance and ensure driven by data principles<\/li>\n<li>Defining best practices and patterns for data ingestion and transformation<\/li>\n<li>Working with the data engineers to ingest, transform, and provision new data and contribute data architecture for digital analytics, real-time event sourcing, data contextualization, and running AI models.<\/li>\n<\/ul>\n<h2>\u0627\u0644\u0645\u0647\u0627\u0631\u0627\u062a<\/h2>\n<p>SKILLS\/COMPETENCIES:<\/p>\n<ul>\n<li>Experience on Big Data platforms and distributed computing (e.g. Hadoop, Map\/Reduce, Spark, HBase, CouchDB, Hive)<\/li>\n<li>Experience in Data Quality Assessment (profiling, anomaly detection) and data documentation (schema, dictionaries)<\/li>\n<li>Experience in data architecture, data warehousing and modelling techniques (Relational, ETL\/ELT, and OLTP) and consider performance alternatives.<\/li>\n<li>Aware of cloud data platforms and building architecture that leverages the cloud.<\/li>\n<li>Experience of architecting data solutions across hybrid (cloud, on-premise) data platforms.<\/li>\n<li>Design short term resolutions to achieve all goals and prepare data roadmap for management.<\/li>\n<li>Determine procedure to identify and collect all required data, validate process and recommend improvements to corporate data.<\/li>\n<li>Strong analytical and numerical skills are essential, enabling easy interpretation and analysis of large volumes of data.<\/li>\n<li>A comprehensive understanding and experience implementing data solutions &#8211; metadata management, ETL, Data Quality, data lacks, big data, advanced analytics, data streaming, data visualization<\/li>\n<li>A comprehensive understanding of the principles of and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache &amp; In-memory stores.<\/li>\n<li>A comprehensive understanding and experience implementing data streaming platform  <\/li>\n<li>Experience of mapping key Enterprise data entities to business capabilities and applications A strong knowledge of horizontal data lineage from source to output<\/li>\n<li>Strong analytical and problem-solving skills<\/li>\n<li>Openness to working in agile environments with multiple stakeholders.<\/li>\n<\/ul>\n<p>EDUCATION &amp; EXPERIENCE<\/p>\n<ul>\n<li>Bachelor of Engineering\/MCA\/Masters in Computer Science<\/li>\n<li>Data Architecture associated certification<\/li>\n<li>Minimum 8 years of experience<\/li>\n<\/ul>\n<h2>\u062a\u0641\u0627\u0635\u064a\u0644 \u0627\u0644\u0648\u0638\u064a\u0641\u0629<\/h2>\n<dl>\n<dt>\u0645\u0646\u0637\u0642\u0629 \u0627\u0644\u0648\u0638\u064a\u0641\u0629<\/dt>\n<dd> \u062f\u0628\u064a, \u0627\u0644\u0625\u0645\u0627\u0631\u0627\u062a \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0645\u062a\u062d\u062f\u0629 <\/dd>\n<dt>\u0642\u0637\u0627\u0639 \u0627\u0644\u0634\u0631\u0643\u0629<\/dt>\n<dd>\u0627\u0644\u0628\u0646\u0648\u0643<\/dd>\n<dt>\u0637\u0628\u064a\u0639\u0629 \u0639\u0645\u0644 \u0627\u0644\u0634\u0631\u0643\u0629<\/dt>\n<dd>\u0635\u0627\u062d\u0628 \u0639\u0645\u0644 (\u0627\u0644\u0642\u0637\u0627\u0639 \u0627\u0644\u062e\u0627\u0635)<\/dd>\n<dt>\u0627\u0644\u062f\u0648\u0631 \u0627\u0644\u0648\u0638\u064a\u0641\u064a<\/dt>\n<dd>\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a<\/dd>\n<dt>\u0646\u0648\u0639 \u0627\u0644\u062a\u0648\u0638\u064a\u0641<\/dt>\n<dd>&#8212;<\/dd>\n<dt>\u0627\u0644\u0631\u0627\u062a\u0628 \u0627\u0644\u0634\u0647\u0631\u064a<\/dt>\n<dd>\u063a\u064a\u0631 \u0645\u062d\u062f\u062f<\/dd>\n<dt>\u0639\u062f\u062f \u0627\u0644\u0648\u0638\u0627\u0626\u0641 \u0627\u0644\u0634\u0627\u063a\u0631\u0629<\/dt>\n<dd>\u063a\u064a\u0631 \u0645\u062d\u062f\u062f<\/dd>\n<\/dl>\n<h2>\u0627\u0644\u0645\u0631\u0634\u062d \u0627\u0644\u0645\u0641\u0636\u0644<\/h2>\n<dl>\n<dt> \u0627\u0644\u0645\u0633\u062a\u0648\u0649 \u0627\u0644\u0645\u0647\u0646\u064a<\/dt>\n<dd>\u0645\u062a\u0648\u0633\u0637 \u0627\u0644\u062e\u0628\u0631\u0629<\/dd>\n<dt>\u0639\u062f\u062f \u0633\u0646\u0648\u0627\u062a \u0627\u0644\u062e\u0628\u0631\u0629<\/dt>\n<dd>\u0627\u0644\u062d\u062f \u0627\u0644\u0623\u062f\u0646\u0649: 8<\/dd>\n<dt>\u0627\u0644\u0634\u0647\u0627\u062f\u0629<\/dt>\n<dd>\u0628\u0643\u0627\u0644\u0648\u0631\u064a\u0648\u0633\/ \u062f\u0628\u0644\u0648\u0645 \u0639\u0627\u0644\u064a<\/dd>\n<\/dl>\n<h2>\u0627\u0644\u062a\u0639\u0644\u064a\u0645<\/h2>\n<p>Computer Science<\/p>\n<p><a href=https:\/\/www.bayt.com\/ar\/uae\/jobs\/data-architect-4591146\/>\u0644\u0644\u062a\u0642\u062f\u0645 \u0639\u0644\u0649 \u0627\u0644\u0648\u0638\u064a\u0641\u0629<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Architect<br \/>\n\u0627\u0644\u0648\u0635\u0641 \u0627\u0644\u0648\u0638\u064a\u0641\u064a<\/p>\n<p>REPORTS DIRECTLY TO: Senior Manager System Architecture<\/p>\n<p>JOB PURPOSE:<\/p>\n<p>Develop and evolve the enterprise-wide data strategy to support the delivery of organizational objectives<br \/>\nBuilding Data solution aligned with Target Data Architecture and implementation data architecture principles and standards within the bank.<br \/>\nArchitecting Customer Event Streaming , data contextualization and real-time analytics platform<br \/>\nBe a key stakeholder and advisor in all the new strategic data initiatives and ensure alignment to the enterprise-wide data strategy<br \/>\nKEY RESPONSIBILITIES:<\/p>\n<p>Ability to build and contribute to data streaming platform<br \/>\nChampioning a Data-as-an-Asset mindset across the group; training the team<br \/>\nProvide technical oversight to solution delivery in creating business-driven solutions adhering to the enterprise architecture and data governance standards<br \/>\nBe an active contributor to how the bank evolves Data Governance practices and influence the adoption of dat..<\/p>\n","protected":false},"author":2,"featured_media":40604,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_ti_tpc_template_sync":false,"_ti_tpc_template_id":"","spay_email":"","footnotes":""},"categories":[18,33],"tags":[],"class_list":["post-93469","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-_","category-__"],"jetpack_featured_media_url":"https:\/\/wathefty.com\/jobs\/wp-content\/uploads\/2022\/07\/\u0648\u0638\u0627\u0626\u0641-\u0627\u0644\u0623\u0631\u062f\u0646.png","_links":{"self":[{"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/posts\/93469","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/comments?post=93469"}],"version-history":[{"count":0,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/posts\/93469\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/media\/40604"}],"wp:attachment":[{"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/media?parent=93469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/categories?post=93469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wathefty.com\/jobs\/wp-json\/wp\/v2\/tags?post=93469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}