Aroha Technologies, Inc
AWS Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Architect in Alameda, CA, on a contract basis. Requires 15+ years of IT experience, 6+ years in AWS Data Architecture, and expertise in SQL, Python, Tableau, and Salesforce integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
July 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alameda, CA
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🧠 - Skills detailed
#Snowflake #DevOps #Data Lake #Tableau #SQL (Structured Query Language) #Data Governance #Terraform #Data Modeling #Security #Data Processing #Lambda (AWS Lambda) #Compliance #Scala #S3 (Amazon Simple Storage Service) #Data Engineering #Spark (Apache Spark) #Kafka (Apache Kafka) #Sales Cloud #Batch #AWS (Amazon Web Services) #Data Pipeline #RDS (Amazon Relational Database Service) #Redshift #"ETL (Extract #Transform #Load)" #PySpark #Data Architecture #Agile #Athena #Code Reviews #Infrastructure as Code (IaC) #Leadership #Migration #Cloud #Python #Scrum
Role 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
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
