Required Skills

secure pros/cons EC2 S3 AutoScaling CloudFormation LakeFormation DMS Kinesis Kafka Nifi Snowflake RDS Aurora Neptune DynamoDB Cloudtrail CloudWatch Docker Lambda Spark Glue Sage Maker AI/ML API GW data ingestion capture StreamSets Attunity GoldenGate Map Reduce Hadoop Hive Hbase Cassandra Spark Flume Hive Impala

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 10th Jul 2025

JOB DETAIL

AWS Data Architect would also develop and deliver AWS Cloud-based Big Data and Analytical Solutions.

Responsibilities include evangelizing data on cloud solutions with customers, leading Business and IT stakeholders through designing robust, secure, and optimized AWS architectures, and the ability to be hands-on in delivering the target solution. AWS Architect will work with customers and  data engineers in delivering big data solutions on cloud.

 

- Minimum of 5 years of Consulting or client service delivery experience on Amazon AWS (AWS)- Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery

- Minimum of 5 years of professional experience in 2 of the following areas:

- Solution/technical architecture in the cloud

- Big Data/analytics/information analysis/database management in the cloud

- IoT/event-driven/microservices in the cloud- Experience with private and public cloud architectures, pros/cons, and migration considerations.

Good to have Blue Yonder experience

- Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark,Glue, Sage Maker, AI/ML, API GW, etc.

- Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.

 

Certifications

- Certified AWS Solutions Architect - Associate

Company Information