Data Architect

Greetings from Skysoft Position: Data Architec tLocation: Washington, DC Onsite -Local DMV Only (On-site work – Need only Locals and In-person interview might require )Visa: US Citizens (ONLY )Duration: 12 Month s PROJECT DESCRIPTION : 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-wid e.BACKGROUND : The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board’s Division of Research & Statistics (R&S) ingests, organizes, uses, and visualizes dat a.The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even re designing the R&S division’s data architecture to support our next generation of data initiative s.REQUIREMENTS • : The candidate shall possess the knowledge and skills set forth in the Technical Services BOA, Section 3.5 for labor category 3.5.9 Data Architect. The candidate shall also demonstrate the below knowledge and experienc • e: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 architecture • s.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 proces • s.Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysi • s.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 solution • s.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 metadat • a.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 organizatio • n.Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processe • s.Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performanc • e.Participate in the development of future-state data architecture standards, guidelines, and Principle s.Specific Requirements and Skil • lsBachelor’s degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferre • d.Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQ • L.Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytic • s.Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workload • s.Experience designing, developing, and automating ETL/ELT workflows and data integration pipeline • s.Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing framework • s.Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Function • s.Experience migrating workflows and data pipelines between on-premises and cloud environment • s.Experience processing, analyzing, and integrating structured and unstructured data source • s.Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHu • b.Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvemen • t.Ability to design and communicate enterprise information architecture at conceptual, logical, and physical level • s.In-depth experience designing and implementing database, data lake, and enterprise data platform solution • s.Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and service • s.Excellent oral and written communication skills with a strong customer service orientatio • n.Exceptional analytical, problem-solving, and troubleshooting skill • s.Experience with NoSQL and graph database technologie • s.Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflak • e.Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologie • s.Experience implementing and maintaining CI/CD pipelines and DataOps platform • s.Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Per l.Additional Desirable Skills/Experience Inclu • deUnderstanding of time series data and related analytical and forecasting technique • s.Experience working in a research environment and/or with economic or financial dat • a.Experience developing, training, deploying, and maintaining machine learning mode ls