Ignatiuz.com
Data Architect
Ignatiuz.com, Bethesda, Maryland, us, 20811
Ignatiuz Software Pvt. Ltd is an IT and web development company offering technology solutions for customers. We keep a user-centric approach along with the mantra “Compelling IT Solutions”. Our company is passionate about the latest technologies and innovation. Our goal is to partner with our clients to help their organization grow and succeed. We take a unique approach to each project we are given, and focus on user-centric, practical, and creative design and development.Job Description
NOTE:Candidates need to be strategic thinkers and should have experience in multiple technology platforms.We need a (10yrs +) Data Architect who is good with Data analytics and Data strategies and not a Big Data Architect.The Data Architect will not be involved in development practices.Technical Reference Architectures for different types of data:Operational DataMaster/Reference Data strategy/platformsAnalytical DataBusiness Reference ArchitecturesResponsibilities:Works on establishing metadata management, data catalogs, data standards, and best practices for Master Data Management.Develops Data Governance, standards, roadmap, and architecture decisions.Develops standards, guidelines, processes and expertise to consistently address recurring strategic enterprise master data issues such as data convergence, data standards and data integration/synchronization.Defines data strategy, policies, controls and programs to ensure that the enterprise data is accurate, secure and reliable.Identifies areas for data quality improvement.Engages with relevant internal parties and external vendors in best practice sharing and effective Master Data Management solution delivery.Provides data consultation on complex projects and acts as a top-level specialist.Ensures compliance with data architecture principles and standards for the various systems and components based on design patterns.Leads selection of preferred data management technologies.Qualifications
Requirements:Deep understanding of Distributed Architectures is required. Best practices at development cycles of an Agile methodology.Hands-on experience configuring and tuning Apache Hadoop CDH (Cloudera Distribution Hadoop) or Hortonworks distribution.Good practices, proactivity and client-facing skills.Architectural understanding of the Big Data ecosystem.
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NOTE:Candidates need to be strategic thinkers and should have experience in multiple technology platforms.We need a (10yrs +) Data Architect who is good with Data analytics and Data strategies and not a Big Data Architect.The Data Architect will not be involved in development practices.Technical Reference Architectures for different types of data:Operational DataMaster/Reference Data strategy/platformsAnalytical DataBusiness Reference ArchitecturesResponsibilities:Works on establishing metadata management, data catalogs, data standards, and best practices for Master Data Management.Develops Data Governance, standards, roadmap, and architecture decisions.Develops standards, guidelines, processes and expertise to consistently address recurring strategic enterprise master data issues such as data convergence, data standards and data integration/synchronization.Defines data strategy, policies, controls and programs to ensure that the enterprise data is accurate, secure and reliable.Identifies areas for data quality improvement.Engages with relevant internal parties and external vendors in best practice sharing and effective Master Data Management solution delivery.Provides data consultation on complex projects and acts as a top-level specialist.Ensures compliance with data architecture principles and standards for the various systems and components based on design patterns.Leads selection of preferred data management technologies.Qualifications
Requirements:Deep understanding of Distributed Architectures is required. Best practices at development cycles of an Agile methodology.Hands-on experience configuring and tuning Apache Hadoop CDH (Cloudera Distribution Hadoop) or Hortonworks distribution.Good practices, proactivity and client-facing skills.Architectural understanding of the Big Data ecosystem.
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