Technogen
Data Architect
Technogen, Bethesda, Maryland, us, 20811
TechnoGen, Inc. (formerly known as SYSCOM Technologies) is a Proven Leader in providing full IT Services, Software Development and Solutions for 12+ years. TechnoGen is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA, MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small businesses and non-profits to Fortune 50 companies and federal, state and local agencies.TechnoGen leadership has experience guiding highly skilled and certified professionals delivering end to end IT and Business consulting services projects in public and commercial sectors across the globe.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 DataEnterprise Data Integration and Business Reference Architectures.Responsibilities:
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.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.Additional Information
All your information will be kept confidential according to EEO guidelines.
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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 DataEnterprise Data Integration and Business Reference Architectures.Responsibilities:
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.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.Additional Information
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr