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, Auto Scaling, Cloud Formation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, Dynamo
  
  DB, Cloud trail, Cloud Watch, 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, Stream Sets, Attunity, Golden Gate, 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
• Dev Ops 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