AWS Data Architect ||

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

We are seeking a highly skilled AWS Data Architect with strong experience in Salesforce and Tableau integration to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will work closely with business stakeholders, data teams, and CRM teams to ensure seamless data flow, reporting, and insights generation.

Job Title: AWS Data Architect

Location: Alameda, CA

Duration: Full-Time (FTE)

Experience: 13 20 Years

Job Description

We are seeking a highly skilled AWS Data Architect with strong experience in Salesforce and Tableau integration to design, develop, and maintain scalable data pipelines and analytics solutions. The ideal candidate will work closely with business stakeholders, data teams, and CRM teams to ensure seamless data flow, reporting, and insights generation.

Primary 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 implementation of data lakes/lakehouse solutions using AWS services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Lake Formation.
• Lead the design and development of robust ETL/ELT pipelines (batch and real-time), ensuring high data quality, reliability, and performance optimization.
• Integrate and synchronize data between Salesforce and AWS data platforms.
• Define and implement enterprise data models, including dimensional modeling (Star/Snowflake schemas) to support analytics and reporting needs.
• Establish BI architecture standards using Tableau, including semantic layer design, dashboard governance, security (row-level security), and performance optimization.
• Provide hands‑on technical leadership in SQL, Python/PySpark, query optimization, and performance tuning for large-scale datasets.
• Define and enforce data governance, security frameworks, and compliance standards across the data ecosystem.
• Guide teams in implementing CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and DevOps best practices for data platforms.
• Drive modernization initiatives, including migration from legacy/on-prem systems to AWS cloud environments.
• Mentor and technically guide data engineers and BI developers, establishing development standards and reusable frameworks.

Required Skills & Experience

• 15+ 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, AWS Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS.
• 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.
• Strong understanding of cloud-native data patterns, SQL development, and advanced data modeling.
• Any Bachelor's Degree.

Secondary Skills

• Experience with real-time streaming tools (Kafka, Kinesis).
• Knowledge of data governance and compliance standards.
• Prior experience in US-based client-facing roles.

Soft Skills

• Communicate effectively with internal and customer stakeholders.
• Collaborative mindset; comfortable working across delivery, product, and sales functions.
• Ability to distill complex industry concepts into digestible insights for technical and non-technical audiences.
• Self-driven, organized, and adaptive in a fast‑paced environment.
• Prior experience in working on Agile/Scrum projects with exposure to tools like Jira.