Data Architect

What you needMinimum 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 deliveryExtensive 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/Client, 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.Bachelor's Degree or equivalent amount of work experience (12 years), or Associate's Degree with six years of work experience.CertificationsCertified AWS Solutions Architect - Associate

Nice to Have:Certified AWS Solutions Architect - Professional (Nice to have)Certified AWS Big Data Specialty (Nice to have)Certified AWS AI/Client Specialty (Nice to have)DevOps on an AWS platform. Multi-cloud experience a plus.Experience developing and deploying ETL solutions on AWSStrong in Java, C##, Spark, PySpark, Unix shell/Perl scriptingFamiliarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.Multi-cloud experience a plus - Azure, AWS, Google

Professional Skill RequirementsProven ability to build, manage and foster a team-oriented environmentProven ability to work creatively and analytically in a problem-solving environmentDesire to work in an information systems environmentExcellent communication (written and oral) and interpersonal skillsExcellent leadership and management skills