AWS Data Architect
Aroha Technologies
Alameda, CA, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+16 more
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
Job 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.
Requirements
- 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
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