AWS Architect Location: Florham Park, New Jersey (Hybrid – 3 Days Onsite) Duration: 6 Months (Contract) Job Summary: We are seeking an experienced Data Architect for a 6-month contract engagement to lead the architecture, design, and initial build-out of a data visualization and analytics environment. This is a senior-level, hands-on role focusing on establishing an AWS-based cloud architecture, integrating FinOps principles, and enabling Power BI dashboards for enterprise reporting. Once the core data environment is implemented, the work will transition to Visualization PODs. Key Responsibilities: • Architect and design scalable, secure data platforms on AWS Cloud. • Incorporate FinOps best practices for cost optimization and financial accountability in cloud infrastructure. • Provide architectural guidance for the setup and usage of Power BI as a reporting and dashboarding tool. • Collaborate with Data Engineers and Visualization PODs to ensure seamless hand-off of the implemented architecture. • Assist in the initial build and configuration of environments as needed. • Define and document architectural standards, design patterns, and governance practices. • Ensure compliance with enterprise data standards and security requirements. • Serve as a subject matter expert for cloud-native data solutions and financial observability tools. Required Skills & Experience: • 10+ years of experience in data architecture, data modeling, and data platform engineering. • Proven expertise in AWS Cloud services related to data warehousing, storage, and analytics (e.g., Redshift, S3, Glue, Athena). • Hands-on experience with FinOps practices and tools for cloud cost management. • Strong command of Power BI for enterprise-level dashboarding and visualization. • Experience in hybrid and multi-cloud architecture design. • Ability to work independently in a fast-paced environment with minimal supervision. • Strong communication and documentation skills. Nice to Have: • Experience collaborating with distributed POD teams. • Knowledge of Snowflake or other cloud data warehouses is a plus. • Familiarity with CI/CD pipelines in data engineering contexts.