Cloud-Driven Data Architect for Modernization & Analytics

customsoftwaresystems; Washington (District of Columbia); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Dental

Vision

Simple IRA

Training/Education

Job summary

Custom Software Systems, Inc. is looking for a Senior Data Architect/Engineer in Washington, D.C. to lead a crucial data modernization initiative. The successful candidate will be instrumental in transforming legacy data systems into scalable, cloud-enabled platforms for enhanced accessibility and analytics.

This role demands extensive experience in data architecture and engineering solutions, alongside a strong background in ETL processes and cloud infrastructures. Ideal candidates should have a collaborative mindset to work with stakeholders and drive innovation in data solutions.

Qualifications

• 10+ years of experience developing data architecture solutions at enterprise scale.
• 5+ years of experience with Data Warehouse Architecture.
• Experience with cloud platforms such as AWS and Azure.

Responsibilities

• Design and implement enterprise data architectures.
• Develop robust data integration and pipeline solutions.
• Optimize data delivery processes for analytics platforms.

Skills

Data governance

Data architecture

Cloud technologies (AWS, Azure)

ETL/ELT development

SQL

Python

Data modeling

Data processing frameworks

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Airflow

PostgreSQL

GitLab

MySQL

Job description

Custom Software Systems, Inc. is looking for a Senior Data Architect/Engineer in Washington, D.C. to lead a crucial data modernization initiative. The successful candidate will be instrumental in transforming legacy data systems into scalable, cloud-enabled platforms for enhanced accessibility and analytics.

This role demands extensive experience in data architecture and engineering solutions, alongside a strong background in ETL processes and cloud infrastructures. Ideal candidates should have a collaborative mindset to work with stakeholders and drive innovation in data solutions.