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# AWS Data Architect

- **Company:** Aroha Technologies
- **Location:** Alameda, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Code Review, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), DevOps, Python (Programming Language), Performance Tuning, Cloud Services, Salesforce.Com, SQL Databases, Tableau (Software), Enterprise Data Management, Cloudformation, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Information Technology, Star Schema, AWS Data Analytics, Apache Kafka, Terraform, Stream Processing, Data Pipelines
- **Published:** June 16, 2026
- **Apply:** https://www.dice.com/job-detail/aaa2b83a-e1fe-452e-86e6-aab04fa0d9a6

## About the Role

* 15+ years of overall IT experience.
 * 10+ years in Data Engineering, Analytics, and Enterprise Data Platforms.
 * 6+ years of hands-on AWS Data Architecture experience.
 * Strong expertise in SQL, Python, PySpark, data modeling, and performance tuning.
 * 4+ years of hands-on Tableau experience.
 * 3+ years of Salesforce integration experience.
 * 3+ years of experience leading data engineering teams.
 * Experience with batch and real-time data processing, CI/CD, and Agile/Scrum environments.

Preferred Skills

 * Experience with Kafka and/or Amazon Kinesis.
 * Knowledge of data governance, security, and compliance frameworks.
 * Experience working with U.S.-based stakeholders and client-facing teams.

Soft Skills

 * Strong communication and stakeholder management skills.
 * Excellent analytical and problem-solving abilities.
 * Self-driven, collaborative, and adaptable in fast-paced environments

## Description

We are seeking an experienced AWS Data Architect with strong expertise in AWS Data & Analytics, Salesforce integration, and Tableau to design and deliver scalable enterprise data solutions. The ideal candidate will lead data architecture initiatives, build modern data lake/lakehouse platforms, develop robust ETL/ELT pipelines, and provide technical leadership to data engineering teams., * Design and implement enterprise data architecture on AWS using S3, Glue, Redshift, Athena, EMR, Lambda, Lake Formation, Kinesis, and RDS.

 * Architect scalable data lake/lakehouse solutions and batch/real-time data pipelines.
 * Integrate Salesforce (Sales Cloud/Service Cloud) with AWS data platforms.
 * Develop enterprise data models, including Star and Snowflake schemas.
 * Establish Tableau reporting standards, governance, dashboard optimization, and security.
 * Lead data engineering teams through architecture reviews, code reviews, and technical mentoring.
 * Implement data governance, security, CI/CD, Infrastructure as Code (Terraform/CloudFormation), and DevOps best practices.
 * Collaborate with business and technical stakeholders to translate requirements into scalable solutions.
 * Drive cloud modernization and migration initiatives.


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