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:

• Bachelors or Masters 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.