What are the responsibilities and job description for the AWS Data Architect with Salesforce and Tableau position at Jobs via Dice?
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Experience Range: 10-17 Years
Primary (Must Have Skills)
Job Description of Role
Experience Range: 10-17 Years
Primary (Must Have Skills)
- 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, 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 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 and ingestion and experience in CI/CD
Job Description of Role
- 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.
- Communicate effectively with internal and customer stakeholders
- Communication approach: verbal, emails and instant messages
- 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
- Capability to troubleshoot and resolve issues efficiently.
- Analytical mindset
- 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