Description

Design and deliver big data, database, and data warehouse architectures within AWS environments.

Responsibilities

• Design and implement data migration and processing workflows using AWS services.
• Develop and deploy ETL solutions on AWS platforms.
• Manage data ingestion, capture, processing, and curation pipelines.
• Oversee metadata management including data governance, quality, MDM, and lineage.
• Lead and foster a team-oriented environment through analytical problem-solving.

Required Skills

• 10+ years of experience in big data, database, and data warehouse architecture.
• 5+ years of consulting or client service delivery experience on Amazon AWS.
• Hands-on experience with AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, and Lambda.
• Experience with data processing tools: Kafka, NiFi, Spark, Glue, and CDC processing.
• Proficiency with databases: Redshift, Snowflake, RDS, Aurora, Neptune, and DynamoDB.
• Strong programming skills in Java, C#, Spark, PySpark, and Unix shell/Perl scripting.
• Technical stack familiarity with Docker, SageMaker, AI/ML, API GW, Cloudtrail, and CloudWatch.
• Knowledge of industry stacks: StreamSets, Attunity, GoldenGate, MapReduce, Hadoop, Hive, HBase, Cassandra, and Impala.
• Bachelor's Degree or equivalent work experience (12 years).

Preferred Skills

• AWS Certifications: Solutions Architect (Professional), Big Data Specialty, or AI/ML Specialty.
• Multi-cloud experience with Azure or Google Cloud.
• DevOps experience on an AWS platform.

Key Skills

Education

Bachelor's Degree