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