BriefCase
BriefCase

Architect Big Data Job in Alpharithm

Architect Big Data

Alpharithm 4+ weeks ago
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Job Summary
  • The Big Data Architect will work closely with the customer and the solutionsarchitect to translate the customer's business requirements into a Big Datasolution.
  • The Big Data Architect should have deep knowledge of the relevant technologies,understands the relationship between those technologies, and how they can beintegrated and combined to effectively solve any given big data business problem.
  • This individual should have the ability to design large-scale data processingsystems for the enterprise and provide input on the architectural decisionsincluding hardware and software.
  • This individual should have the ability to design large-scale data processing systems for the enterprise and provide input on the architectural decisions including hardware and software.
  • The Big Data Architect should also understand the complexity of data and can design systems and models to handle different data variety including (structured, semi-structured, unstructured), volume, velocity (including stream processing), and veracity.
  • The Big Data Architect is also able to effectively address information governance and security challenges associated with the system.
  • Recommended Prerequisite Skills
  • Should have around 6-15 years of experience and at least 1 full life Cycle implementation on Hadoop platform.
  • Should be hands-on in some of the key areas like Hadoop, Hive, Hbase, Sqoop.
  • Should posses leadership qualities to be able to guide customers and the development team.
  • Understand the data layer and particular areas of potential challenge/risk in the data layer
  • Ability to translate functional requirements into technical specifications
  • Ability to take overall solution/logical architecture and provide physical architecture.
  • Understand Cluster Management
  • Understand Network Requirements
  • Understand Important interfaces
  • Understand Data Modeling
  • Ability to identify/support non-functional requirements for the solution
  • Understand Latency
  • Understand Scalability
  • Understand High Availability
  • Understand Data Replication and Synchronization
  • Understand Disaster Recovery
  • Understand Overall performance (Query Performance, Workload Management, Database Tuning)
  • Propose recommended and/or best practices regarding the movement, manipulation, and storage of data in a big data solution (including, but not limited to:
  • Understand Data ingestion technical options
  • Understand Data storage options and ramifications (for example , understand the additional requirements and challenges introduced by data in the cloud)
  • Understand Data querying techniques & availability to support analytics
  • Understand Data lineage and data governance
  • Understand Data variety (social, machine data) and data volume
  • Understand/Implement and provide guidance around data security to support implementation, including but not limited to:
  • Understand LDAP Security
  • Understand User Roles/Security
  • Understand Data Monitoring
  • Understand Personally Identifiable Information (PII) Data Security considerations
Experience Required :

6 to 15 Years

Vacancy :

2 - 4 Hires

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