AWS Data Architect: Salesforce & Tableau Integration

Aroha Technologies, Inc; Alameda (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Aroha Technologies, Inc. is seeking an AWS Data Architect in Alameda, CA to design and maintain scalable data pipelines and analytics solutions. You will collaborate with stakeholders across data, CRM, and business teams to ensure seamless reporting and insights generation.

The role requires deep expertise in AWS data platforms, data modeling, and BI governance, with hands-on leadership in SQL, Python/PySpark, and CI/CD practices for data applications.

Qualifications

• Experience designing enterprise data architectures across AWS data platforms.
• Ability to design scalable data lakes/lakehouse solutions on AWS.
• Experience leading data engineering teams or technical architecture roles.
• Strong knowledge of Tableau BI architecture and governance.

Responsibilities

• Design and define enterprise-level data architecture across AWS data platforms, ensuring scalability, security, performance, and alignment with business strategy.
• Architect, develop, and oversee ETL/ELT pipelines (batch and real-time) for high data quality and performance.
• Integrate Salesforce with AWS data platforms and ensure seamless data flow for analytics.
• Define enterprise data models (Star/Snowflake) to support analytics and reporting.
• Establish BI architecture standards using Tableau, including semantic layer design and security.

Skills

Data engineering

Analytics

AWS data architecture

Tableau

Salesforce integration

ETL/ELT pipelines

Python/PySpark

SQL development

CI/CD

DevOps

Data governance

Education

Bachelor's degree

Tools

Amazon S3

AWS Glue

Redshift

Athena

Lambda

EMR

Lake Formation

Kinesis

RDS

Job description

Aroha Technologies, Inc. is seeking an AWS Data Architect in Alameda, CA to design and maintain scalable data pipelines and analytics solutions. You will collaborate with stakeholders across data, CRM, and business teams to ensure seamless reporting and insights generation.

The role requires deep expertise in AWS data platforms, data modeling, and BI governance, with hands-on leadership in SQL, Python/PySpark, and CI/CD practices for data applications.