Data Architect

What you need: 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 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/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. Certifications: Certified AWS Solutions Architect - Associate Nice to Have: Certified AWS Solutions Architect - Professional Certified AWS Big Data Specialty Certified AWS AI/Client Specialty DevOps on an AWS platform. Multi-cloud experience a plus. Experience developing and deploying ETL solutions on AWS Strong in Java, C##, Spark, PySpark, Unix shell/Perl scripting Familiarity 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 Requirements: Proven ability to build, manage and foster a team-oriented environment Proven ability to work creatively and analytically in a problem-solving environment Desire to work in an information systems environment Excellent communication (written and oral) and interpersonal skills Excellent leadership and management skills #J-18808-Ljbffr