Job Description :
Role & Responsibilities:
The Senior Application Architect will be responsible for articulating an architectural vision, conceptualizing architectural approaches, developing and validating the architecture and high level solution design against business requirements, and guiding and mentoring development teams on methodologies, processes and best practices according to EY’s Architecture Framework based on TOGAF. The Senior Application Architect will be expected to work on multiple tasks and initiatives concurrently while being responsible for:
Defining the architecture and framework within an enterprise for Big Data including structured data, non-structured data, real-time data and analytics.
Extending the industry-recognized best practices within the Enterprise Data Architecture to include Hadoop.
Defining the overall analytics architecture (patterns, methods, blueprints, etc extending beyond Hadoop
Defining technical and data architectures for warehouse and reporting marts
Evaluating and recommending specific Big Data and analytics technologies
Qualifications:
Bachelor''s Degree or equivalency (CS, CE, CIS, IS, MIS, or engineering discipline)
Minimum 6 years’ experience as a software architect, providing technical leadership/guidance/mentorship
Extensive, real-world experience designing enterprise software and defining solution architectures and technology (UML, design patterns, SOA, EAI, BPI, etc. )
5+ years’ experience in design and implementation of big data systems involving large data volumes
Demonstrated experience in designing and deploying Big Data architectures within organizations (e.g. patterns, anti-patterns, approaches, best practices, etc
Experience with data ingestion technologies (e.g. Aspera, MoveIT, Azure Data Factory, SSIS, Pentaho, Alteryx)
Excellent understanding of data platforms in the context of Big Data (e.g. HD Insights, HortonWorks, MAP R etc
Hands-on experience with the overall Hadoop Stack (Azure Data Lake, HDFS, MAP Reduce, Pig/Hive, HBase , Waterline, Ambari, Oozie, Falcon, etc )
5+ years’ experience in advanced analytics and demonstrated skills in visualization tools such as (PowerBI, Tableau, SPSS, Spotfire, Scrapinghub, etc
Experience with machine learning tools such as (Azure ML, IBM, AWS, etc
Demonstrated proficiency in descriptive, predictive and prescriptive analytics
Demonstrated knowledge of industry trends and standards
Familiar with architecture principles and frameworks (TOGAF, Zachman, Gartner, DOD etc
Exposure to application security technologies and approaches
Experience in full development lifecycle phases
Familiarity with various requirements gathering techniques
Familiarity with configuration management concepts and tools
Software prototyping experience
Must be able to communicate fluently in English, both written and verbal.
The following industry qualifications are desirable:
Microsoft Certified Solutions Expert: Business intelligence
TOGAF 9 certified
Demonstrated skills in the Microsoft SQL Server 2008/2012/2014 suite including:
SQL Server Relational Database Management System
T-SQL development skills
SQL Server Analysis Services (SSAS)
SQL Server Reporting Services (SSRS)