Solution Architect

Skill Set: AWS PROFESSIONAL SOLUTION ARCHITECT
Total Experience: 3.00 to 10.00 Years
No of Openings: 2
Job Post Date: 23/07/2021
Job Expiry Date: 23/08/2021
Domain: IT
Location: MUMBAI [India]

**Responsibilities:** 

+ Lead efforts to introduce  re engineer and optimize AWS cloud data platform processes and systems by assessing business needs and architecting  proposing and implementing data management solutions.  + Develop and design of models for complex analytical and data warehouse systems including performing tasks related to database design  data analysis  data quality  metadata management and support.  + Collaborate with business process leaders to introduce and maintain data platforms  algorithm governance and data security capabilities and roadmap.  + Collaborate with Data Scientist  Data Engineer and Solution Architect and implement and support various AWS services such as Elastic Compute Cloud (EC2)  Amazon Data Pipeline  S3  DynamoDB  Relational Database Service (RDS)  Athena  Aurora  Redshift  Redshift spectrum  Elastic Map Reduce (EMR)  Sagemaker studio and commercial/open source IDEs.  + Ensure data lake design follows the prescribed reference architecture and framework; Ensure design reflects appropriate business rules  and facilitates data integration  data conformity and data integrity  + Work on project teams to translate business requirements into system qualities that lead to repeatable and executable design strategies and patterns.  + Implement large cloud based data warehouse solutions utilizing cluster and parallel RDMS  Hadoop and NoSQL architectures.  + Develop architecture supporting end to end Data integration process using ETL and ELT using Structured  semi structured and Un structured Data  + Develop proof of concept prototypes for next generation data lake solution  **Basic Qualifications:**  + Bachelor’s degree in Computer Science  Information Systems  Mathematics or a related discipline.  + 12+ years of experience in Information Technology within a complex  matrixed and global business environment  including experience within a manufacturing organization.  + 8+ years of experience in a Data Architect role working with cross functional teams (within IT and/or within the business) on enterprise level or complex system implementations **.**  + 4+ years of experience of full cycle AWS Data Lake platform implementation and performance tuning.  + Expertise in AWS data lake services such as Amazon Elastic Compute (EC2)  Amazon Data Pipeline  Glue  Amazon S3  Amazon DynamoDB  Amazon Relational Database Service (RDS)  Amazon Elastic Map Reduce (EMR)  Amazon Kinesis  and Amazon Redshift.  + Understanding of Apache Hadoop and Hadoop ecosystem. Experience with one or more relevant tools such as Sqoop  Flume  Kafka  Oozie  Zookeeper  HCatalog  or Solr.  + Understanding of database and analytical technologies in the industry including MPP and NoSQL databases  Data Warehouse design  ETL  BI reporting and Dashboard development.  + Familiarity with one or more SQL on Hadoop technologies (Hive  Impala  Spark SQL  Presto).  + Experience developing software code in one or more programming languages (Java  JavaScript  Python  Ruby  JSON etc).  + Knowledge of best practices related to Data lake  Data lake governance  Data Security (e.g.  HITRUST)  and Data Integration & Interoperability.  + Experience with Agile framework and DevOps.  **Preferred Qualifications:**  + Professional certifications e.g. TOGAF  Data Management  COBIT  ITIL  AWS Certified solution architect  etc.  + Excellent documentation and interpersonal relationship skills with ability to drive achievement of objectives.  + Strong interpersonal and leadership skills.  + Strong written and verbal communication skills including the ability to communicate at various levels within an organization and to explain complex or technical matters in a manner suitable for a non technical audience.