Senior AWS Data Architect — Migration & Modernization Lead

Incedo Inc.; Austin (TX); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Incedo Inc. is seeking an experienced AWS Data Architect for data migration and modernization in Austin, TX. The role focuses on migrating legacy platforms to AWS and designing scalable cloud data architectures.

Responsibilities include leading migration architecture, defining strategy, and building data solutions with S3, Glue, DMS, Redshift, and more. Collaboration with data engineers and stakeholders is essential.

Qualifications

• 10+ years in Data Architecture/Data Engineering.
• Experience migrating legacy/on-premises data to AWS.
• Strong SQL, data modeling, ETL/ELT and data integration.
• Hands-on with AWS DMS and AWS Glue.
• Python/PySpark is preferred.
• Knowledge of data validation and migration testing.
• Banking/Financial services experience is a plus.

Responsibilities

• Lead architecture for large-scale data migration to AWS.
• Assess legacy data platforms and define migration strategy and roadmap.
• Design AWS data solutions using S3, Glue, DMS, Redshift, RDS/Aurora, EMR and Lambda.
• Define data mapping, transformation, CDC, reconciliation, validation and cutover.
• Design modern Data Lake / Data Warehouse / Lakehouse architectures.
• Ensure data security, governance, quality, performance and cost optimization.
• Collaborate with Data Engineers, DevOps and business stakeholders.
• Provide technical leadership throughout migration lifecycle.

Skills

Data Architecture

Data Engineering

SQL

Data Modeling

ETL/ELT

Data Integration

AWS DMS

AWS Glue

Python/PySpark

Data migration testing

Financial services experience

Tools

AWS DMS

AWS Glue

S3

Job description

Incedo Inc. is seeking an experienced AWS Data Architect for data migration and modernization in Austin, TX. The role focuses on migrating legacy platforms to AWS and designing scalable cloud data architectures.

Responsibilities include leading migration architecture, defining strategy, and building data solutions with S3, Glue, DMS, Redshift, and more. Collaboration with data engineers and stakeholders is essential.