AWS Data Architect

Tech Observer; Alameda (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Tech Observer in Alameda is seeking an AWS Data Architect to design and maintain scalable data pipelines, integrating Salesforce with Tableau analytics. You will guide data architecture, governance, and security across cloud platforms, while mentoring data engineers and BI developers.

The role demands extensive experience with AWS data services, data modeling, real-time/batch processing, and CI/CD practices.

Qualifications

• 15+ years of overall IT experience with 8+ years in Data Engineering & Analytics.
• 6+ years of hands-on AWS data architecture experience across S3, Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, RDS.
• 3+ years of Salesforce integration with external data platforms via APIs/connectors.
• 3+ years leading data engineering teams as Technical Architect / Lead.
• 4+ years Tableau dashboard development and data visualization.
• 3+ years real-time and batch data processing architectures and CI/CD experience.

Responsibilities

• Design and define enterprise-level data architecture across AWS data platforms.
• Architect and oversee implementation of data lakes/lakehouse using AWS services.
• Lead design and development of robust ETL/ELT pipelines (batch and real-time).
• Integrate and synchronize data between Salesforce and AWS data platforms.
• Define and implement enterprise data models including star/snowflake schemas.
• Establish BI architecture standards using Tableau with semantic layer and security.
• Translate business requirements into scalable technical architecture.
• Provide hands-on leadership in SQL, Python/PySpark, and performance tuning.
• Define and enforce data governance, security, and compliance across data ecosystem.
• Guide CI/CD, IaC (Terraform/CloudFormation), and DevOps for data platforms.
• Review solution designs to ensure scalability and best practices.
• Collaborate with cross-functional teams to deliver scalable solutions.
• Drive modernization including migration from on-prem to AWS cloud.
• Ensure monitoring, logging, observability, backup and disaster recovery.

Skills

AWS data architecture

Salesforce integration

Leadership / Architect

Tableau development

Real-time & batch processing

Data modeling (Star/Snowflake)

BI architecture & security

SQL / Python / PySpark

CI/CD / IaC

Data governance & security

Tools

AWS tools suite

Tableau

Salesforce APIs

Job description

Primary (Must have skills)* - To be Screened by TA Team**

• 1). 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
• 2). 6+ years of hands-on experience in AWS data architecture, including Amazon S3, AWS 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). 3+ years of experience in integrating Salesforce (Sales Cloud / Service Cloud) with external data platforms using APIs, connectors, and middleware tools
• 4). 3+ years of experience in leading data engineering teams as Technical Architect / Lead, providing architecture guidance, code reviews, design standards, and mentoring developers
• 5) 4+ years of hands-on experience with Tableau, including dashboard development, data modeling, performance tuning, and data visualization best practices
• 6) 3+ years of experience in real-time and batch data processing architectures, including streaming frameworks and large-scale data and ingestion and experience in CI/CD

Job Description of Role* (RNR)

• 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 (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
• Drive modernization initiatives including migration from legacy/on-prem systems to AWS cloud environments.
• 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.

Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)

Communication Skills:

• Communicate effectively with internal and customer stakeholders
• Communication approach: verbal, emails and instant messages

Interpersonal Skills:

• 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

Problem-Solving and Analytical Thinking:

• Capability to troubleshoot and resolve issues efficiently.
• Analytical mindset

Task/ Work Updates

• 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

Expected Outcome:

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.

Candidate should go to customer Alameda office 4 days or as per customer expectation

Secondary Skills to be planned Post Hiring - Training Plan

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