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.
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