AWS Data Architect

About the role

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.

Responsibilities

• 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.

Qualifications

• 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.

Skills

• Strong communication and stakeholder management skills.
• Excellent analytical and problem-solving abilities.
• Self-driven, collaborative, and adaptable in fast-paced environments.