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Senior Architect / Architect - Big Data

Mumbai, india

Open

 

Reporting Structure

Reports to the AVP – Enterprise Architecture

Education

Bachelor’s Degree in Engineering , Master Degree in Engineering preferred

Experience/ Qualifications

  • Minimum of 10+ years of total experience
  • Minimum of 7+ years as data/hadoop architect
  • Hands on experience in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc. NoSQL stores like Cassandra, HBase etc.). Work closely with product management and development team to understand functional requirements and propose architecture, NFRs, develop proof of concept to validate technical unknowns.
  • Expertise in building massively scalable distributed data processing solutions with Hadoop, Hive & Pig Proficiency with Big Data processing technologies (Hadoop, HBase, Flume, Oozie)

Industry

Preferably from a Technology, ITES, Shared Services or Banking organization

Responsibilities

  • To conceptualize, design and deliver solution delivery through the team as per defined scope and standards in a particular technology related to databases
  • To define practices to manage data at rest and as data moves through the enterprise, coordinating the efforts of the various teams involved
  • To develop, analyse, and maintain the data architecture
  • To serve as a subject matter expert and perform tasks that contribute to and define the organizations mission and vision
  • To improve and streamline data practices and assist in defining interfaces, improving the organizations understanding of data and access to data across the enterprise
  • To provide leadership and guidance to the organization in regard to enterprise data strategies, such as data quality, data flows, data warehousing, big data, data analytics, and data science
  • Deep experience with distributed systems, large scale non-relational data stores, map-reduce systems, data modeling, database performance, and multi-terabyte data warehouses
  • To define technical standards and guidelines related to data flows and data consumption
  • To document databases, interfaces, data movement, and mapping data sources/data stores
  • To create and revise data dictionary definitions, data governance practices, and data standards
  • To define quality of service requirements: data currency, availability, response times and data volume
  • To partner with the architecture team to ensure compliance with data security, privacy mandates, enterprise architecture standards
  • To educate peers and cross-train team members in relation to data management strategies, data warehousing, data flows, and data architecture
  • To troubleshoot problems and questions pertaining to system applications, interfaces and data integration as needed
  • To evaluate and recommend new and emerging data management and data storage technologies and data architecture standards
  • To ensure consistency between data management, enterprise storage and all other technical system components
  • To remain current with emerging data technologies, best practices, and industry trends.

Certifications

Certifications on databases is a plus

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