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AWS Data Architect

Santa Clara, CA, US • Posted 8 hours ago • Updated 8 hours ago

Full Time

On-site

Depends on Experience

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AWS Data Architect
Full-Time / Contract
Alameda, CA 94502 (Onsite)- Local or CA based candidates will be preferred for interviewed first.
Salary – Market- DOE

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.

Skills / Experience

Minimum 10+ 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, Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS with strong understanding of cloud-native data patterns, SQL development and advanced data modeling
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
Experience with real-time streaming tools (Kafka, Kinesis); Knowledge of data governance and compliance standards; Prior experience in Client-facing roles

Job / Role Description

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; Drive modernization initiatives including migration from legacy/on-prem systems to AWS Cloud environments
Define and implement enterprise data models (conceptual, logical, physical), 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.
Translate complex business requirements into scalable technical architecture and actionable data solutions.
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 (IAM, encryption, masking), 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.
Review solution designs and code to ensure adherence to architectural standards, scalability principles, and best practices.
Collaborate with cross-functional teams to gather requirements and deliver scalable solutions
Ensure monitoring, logging, observability, backup, and disaster recovery strategies are implemented effectively
Mentor and technically guide data engineers and BI developers, establishing development standards and reusable frameworks
Continuously evaluate emerging technologies, BI trends, and AWS innovations to recommend improvements and optimize enterprise data capabilities
Communicate effectively with internal and customer stakeholders; Communication approach: verbal, emails and instant messages
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; Problem-Solving and Analytical Thinking
Collaborative mindset; comfortable working across delivery, product, and sales functions
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira
Provides regular updates, proactive and due diligent to carry out responsibilities
Capability to troubleshoot and resolve issues efficiently; Analytical mindset

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10117909
Position Id: 26-08265
Posted 8 hours ago

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