Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

AWS Data Architect

Job

Aroha Technologies

Alameda, CA (In Person)

Full-Time

Posted 5 days ago (Updated 1 day ago) • Actively hiring

Expires 7/20/2026

See Job Scorecard

Review key factors to help you decide if the role fits your goals.

How is this calculated?

Pay Growth

out of 5

Not enough data

Not enough info to score pay or growth

Job Security

out of 5

Not enough data

Calculating job security score...

Total Score

out of 100

Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Job Title:

AWS Data Architect Location:

Alameda, CA (Onsite)

Employment Type:

FTE /

Contract Experience:

15+ Years Job Summary 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. Key Responsibilities 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. Required Qualifications 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