Role: Aws Data Architect
Location: Alameda, CA (ONSITE)
Type: Full Time
· Minimum 10+ years of overall IT experience, with 8+ years in Data Engineering & Analytics, including end-to-end data solution design, architecture, and enterprise data platform implementation
· 6+ years of hands-on experience in AWS data architecture, including Amazon S3, Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS with strong understanding of cloud-native data patterns, SQL development and advanced data modeling
· 3+ years of experience in integrating Salesforce (Sales Cloud / Service Cloud) with external data platforms using APIs, connectors, and middleware tools
· 3+ years of experience in leading data engineering teams as Technical Architect / Lead, providing architecture guidance, code reviews, design standards, and mentoring developers
· 4+ years of hands-on experience with Tableau, including dashboard development, data modeling, performance tuning, and data visualization best practices
· 3+ years of experience in real-time and batch data processing architectures, including streaming frameworks and large-scale data, ingestion and experience in CI/CD
· Experience with real-time streaming tools (Kafka, Kinesis); Knowledge of data governance and compliance standards; Prior experience in Client-facing roles