Senior Big Data Architect

New York

The candidate should also have in-depth understanding of real-time data harvesting, parsing, storing and modeling, and will be responsible for architecture and design of Enterprise Data Hub, Data Lake and Data Catalogs.

Role and Responsibilities

  • Demonstrated experienced with the following: Data Governance, Data Architecture, Data Modeling & Design, Metadata, Master Data, Data Quality (to include data profiling), Content Management, Data Warehousing & Business Intelligence, Database Management (including Changed Data Capture (CDC)), Data Security, Data Integration (to include streaming data).
  • Lead teams of 2-10+ technical resources.
  • Experience with cloud platforms (AWS, Azure), including readiness, provisioning, security, and governance.
  • Solid experience with designing and architecting large scale Big Data applications leveraging on-premise and/or cloud platforms, and Big Data architecture patterns like Data lakes, Lambda, Kappa.
  • Active involvement in thought leadership Best Practices development, Written White Papers and/or POVs on Big Data Technology.
  • Provide Architectural leadership and vision for MaestrOS Data Platform. Develop and maintain architectural roadmap for products and services plus ensuring alignment with the business and enterprise architecture strategies and standards. Able to develop, present and explain the value and vision of proposed architectures and solutions to a wide range of audience.
  • Maintain broad technical and solution knowledge in software, infrastructure, big data, security, and business architecture areas.
  • Engage with Data Platform customers/partners to understand their needs and provide suggestions/guidance on what PaaS techniques are appropriate to solve their problems with pros/cons articulated clearly.
  • Drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then hand over to (may lead) a small group of devs to finish.
  • Build relationships with key architects across technology organizations and collaborate on promoting architectural best practices across technology.
  • Deep knowledge and hands on experience on big data and cloud computing technologies including Hadoop, Spark, Hive, HBase, etc.
  • Hands-on experience with Hadoop, Teradata (or other MPP RDBMS), MapReduce, Hive, Sqoop, Splunk, STORM, SPARK, Kafka and HBASE (at least 2 years).
  • Experience with end-to-end solution architecture for data capabilities including:
    • Experience with ELT/ETL development, patterns and tooling (Informatica, Talend).
    • Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.

Spencer Ogden is acting as an Employment Agency in relation to this vacancy.

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Skills and experience

big data, architecture,clour, data lakes, lambda, kappa, data platform, spark, hadoop, hive, hbase, storm, splunk, etl, informatica, data integration, design, applications, aws, azure, roadmap, storming, enterprise architecture

About Spencer Ogden

Spencer Ogden

SPENCER OGDEN: THE AWARD-WINNING GLOBAL ENERGY, ENGINEERING AND INFRASTRUCTURE RECRUITMENT SPECIALISTS.

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http://www.spencer-ogden.com/

New York, United States, North America

Position is an indication of the job position only. Exact location is not shown.

Details

  • Salary
    $190,000 per year
  • Benefits
    bonus + relocation assistance
  • Location
    New York
  • Company
    Spencer Ogden
  • Posted By
    Mr Max Richardson
  • Date Posted
    06/05/2019
  • Application Closing
    27/05/2019
  • Start Date
    06/05/2019
  • Job ID
    877686
  • Employer Reference
    BBBH125640
  • Job Functions
    Architecture
    Design
    Engineering
    Information Technology
  • Industries
    Architecture & Planning
    Computer Software
    Design
  • Career Level
    Mid-Senior level
  • Qualification Level
    High School
  • Home Working Possible?
    Yes

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