Data Architect

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Data Architect

Location(s): Washington DC

Design develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases and fragmented data pipelines into integrated cloud platforms enterprise data integration systems and collaboration tools that improve data accessibility and security. These initiatives streamline workflows enable timely economic insights and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis promotes efficiency in meeting Congressional mandates and supports adoption of advanced tools and best practices organization-wide.

• Analyze data processes applications and source data to understand dependencies anomalies and implicit business rules that impact the divisions 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 divisions 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.

• Bachelors degree in computer science Information Technology Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred.
• 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.
• 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.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age protected veterans or individuals with disabilities.