AWS Data Architect (Data Lake & SAP)

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline.

Experience:

• 15+ years in Data Architecture, Data Engineering, or Cloud Architecture roles.
• Proven experience designing and deploying AWS Data Lake / Lakehouse architectures.
• Strong experience in enterprise-scale data integration and large data processing systems.
• Experience supporting FP&A, analytics, BI, or enterprise reporting environments is a plus.

Technical Proficiency:

• Hands-on expertise with AWS services: S3, Glue, Redshift, Lambda, Athena, EMR, Kinesis, Lake Formation, and related tools.
• Strong programming skills in Python and SQL.
• Deep knowledge of data modeling, schema design, warehousing concepts, and metadata management.
• Experience with BI tools such as Tableau, Power BI, or QuickSight.

Soft Skills:

• Strong communication and stakeholder management skills.
• Analytical mindset with strong problem-solving abilities.
• Ability to work in a dynamic environment and adapt to evolving business needs.

• AWS certifications such as Solutions Architect, Data Analytics Specialty, or Database Specialty.
• Familiarity with Agile methodologies and tools like Jira.
• Experience implementing advanced data security and compliance best practices.

AWS Data Architecture:

• Design and implement scalable AWS Data Lake and modern data architecture solutions for large-scale data management and analytics.

Data Integration:

• Build and maintain robust ETL/ELT pipelines using AWS-native tools and modern data engineering frameworks.

• Ensure data accuracy, consistency, and reliability across ingestion and transformation flows.

Support for FP&A & Analytics:

• Develop data integration solutions to support FP&A, financial reporting, forecasting, and enterprise decision-making processes.

Cloud Infrastructure Management:

• Optimize AWS environments for performance, scalability, cost-efficiency, and automation.

Data Governance & Security:

• Implement and enforce best practices for data governance, data cataloging, lineage, security, IAM, and compliance across the Data Lake.

Collaboration & Stakeholder Engagement:

• Work closely with business analysts, data engineers, and analytics teams to deliver end-to-end data solutions aligned with business needs.

• Opportunity to work on high-impact AWS data architecture initiatives.
• Attractive salary and benefits.
• Career growth in a technology-driven, highly collaborative environment.