Data Architect

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

Job Overview

Custom Software Systems, Inc. (CSS) is seeking a Senior Data Architect/Engineer to support a critical data modernization initiative for our client. The selected candidate will play a key role in transforming legacy data environments into scalable, cloud-enabled data platforms that improve data accessibility, security, and analytical capabilities supporting research, forecasting, and data‑driven decision‑making.

The Senior Data Architect/Engineer will be responsible for designing and implementing enterprise data architectures, developing robust data integration and pipeline solutions, and optimizing data delivery processes across complex business and analytical environments. This role requires a hands‑on technical leader with expertise in data modeling, database architecture, ETL/ELT development, cloud technologies, and data governance. The ideal candidate will collaborate closely with business stakeholders, researchers, and technical teams to deliver innovative, secure, and scalable data solutions that advance organizational objectives and support next‑generation analytics initiatives.

Responsibilities

• Analyze data processes, applications, and source data to understand dependencies, anomalies and implicit business rules that impact the division’s ability to manage data.
• Review and analyze existing data models and processes to optimize and modernize current data architectures.
• Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process.
• Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large‑scale data processing for economic analysis.
• Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division’s research needs and data strategy.
• Translate division and section requirements into long‑term information architecture solutions.
• Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures and access security controls.
• Develop and maintain formal documentation of data structures, data flows, data dictionaries and technical metadata.
• Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering data‑driven decision‑making across the organization.
• Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable and available for end users and dependent business processes.
• Identify, design and implement internal process improvements, including automation of manual processes, optimization of data delivery and redesign of infrastructure to improve scalability and performance.
• Participate in the development of future‑state data architecture standards, guidelines and principles.
• Collaborate with important stakeholders to establish an understanding of the organization’s vast processes and data.
• Actively participate in process improvement initiatives and in setting best practice standards around Data Architecture, Metadata, Governance, Master Data Management and Data Quality flows.

Citizenship

• US Citizenship

Required Qualifications

• Minimum of ten (10) years’ experience developing data architecture and data engineering solutions at enterprise scale.
• Minimum of five (5) years’ experience of Data Warehouse Architecture.
• Minimum of five (5) years of experience with business intelligence technologies and solutions and leading teams on IT initiatives.
• Minimum of one (1) year of experience with cloud platforms such as AWS and Azure.
• Minimum of two (2) years’ experience working in an agile development environment.

Knowledge, Skills & Abilities

• Well‑versed in data governance and management.
• Strong background in various types of data infrastructure and services.
• Experience building, optimizing and maintaining scalable databases, data pipelines and data processing frameworks.
• Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster or AWS Step Functions.
• Experience migrating workflows and data pipelines between on‑premises and cloud environments.
• Experience processing, analyzing and integrating structured and unstructured data sources.
• Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub.
• Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement.
• Ability to design and communicate enterprise information architecture at conceptual, logical and physical levels.
• In‑depth experience designing and implementing database, data lake and enterprise data platform solutions.
• Strong hands‑on software engineering and implementation experience, including development, testing and deployment of data applications and services.
• Excellent oral and written communication skills with a strong customer service orientation.
• Exceptional analytical, problem‑solving and troubleshooting skills.
• Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server and MySQL.
• Advanced working knowledge of Python, R and other scripting languages used for data engineering and analytics.
• Experience working with large‑scale data systems, including distributed computing, scalable data processing, data storage architecture and optimization of high‑volume data workloads.
• Experience designing, developing and automating ETL/ELT workflows and data integration pipelines.
• Solid understanding of software engineering principles, design methodologies, technology architecture and best practices in the IT industry.

Education

• Bachelor’s degree in Computer Science, Information Technology, Mathematics or related field and at least seven (7) years of related experience; advanced degree preferred.

Preferred Qualifications

• Solid understanding of software engineering principles, design methodologies, technology architecture and best practices in the IT industry.
• Understanding of time series data and related analytical and forecasting techniques.
• Experience working in a research environment and/or with economic or financial data.
• Experience with NoSQL and graph database technologies.
• Experience developing, training, deploying and maintaining machine learning models.
• Working experience with cloud technologies such as AWS, Microsoft Azure and Snowflake.
• Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies.
• Experience implementing and maintaining CI/CD pipelines and DataOps platforms.
• Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript or Perl.

Compensation & Benefits

• Wage Range: Negotiable
• General Benefits: Custom Software Systems, Inc. offers our employees a competitive benefits package that may include:

• Health insurance plans
• Health Savings Account (HSA)
• Dental
• Vision
• Long‑term disability
• Short‑term disability
• Basic term life insurance
• Supplemental term life insurance for employees, spouses and dependents
• Simple IRA
• Parking/Commuting expense reimbursement
• Training/Education