AWS Data Architect (Data Lake & SAP)

Position Overview We are seeking an experienced AWS Data Architect to design and implement scalable cloud-based data solutions to support enterprise-wide analytics and FP&A processes.

This role is based remotely anywhere from India .  Qualifications 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.

Preferred Qualifications 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.

Key Responsibilities 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.

Why Join Us?

Opportunity to work on high-impact AWS data architecture initiatives.

Attractive salary and benefits.

Career growth in a technology-driven, highly collaborative environment.

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