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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Architect / Data Engineer - 26-06256 - **Company:** Navitas, Inc. - **Location:** Arlington, VA, United States - **Experience:** Expert - **Contract:** Temporary to permanent - **Skills:** Java (Programming Language), JavaScript (Programming Language), Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Computing, Databases, Continuous Integration, Data Architecture, Data Dictionary, Information Engineering, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Systems, Relational Databases, Database Development, Database Storage Structures, Linux, Perl (Programming Language), Github, Graph Database, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MySQL, NoSQL, Cloud Services, DataOps, Scala (Programming Language), Data Streaming, Unstructured Data, Workflow Management Systems, Enterprise Data Management, Scripting, Cloud Platform System, Snowflake, Database Optimization, Database Performance, Change Data Capture, Gitlab, Data Lakes, Information Technology, Deployment Automation, Integration Frameworks, Data Management, Physical Data Models, Cloud Migration, Software Version Control, Data Pipelines, Legacy Systems - **Published:** May 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=059e365e3de8e316 ## About the Role Do you have experience in Version control?, * Bachelor's degree in Computer Science, Information Technology, Engineering, or related technical field * Advanced degree preferred, * Minimum 7+ years of experience in Data Architecture, Data Engineering, or related technical roles * Strong hands-on experience designing enterprise data platforms and data integration solutions * Experience building and maintaining large-scale ETL/ELT pipelines * Experience with cloud migrations and modern data infrastructure implementations Technical Skills Strong experience with: * Advanced SQL development * Python and/or R scripting * Relational databases including: + PostgreSQL + Microsoft SQL Server + MySQL * Workflow orchestration tools such as: + Apache Airflow + Prefect + Dagster * Source control platforms: + GitHub + GitLab * Linux-based development environments * Data modeling and database optimization * Data quality and governance practices Cloud Experience Experience with one or more: * Amazon Web Services * Microsoft Azure * Snowflake, * Experience working with economic, financial, or research datasets * Experience with time-series data and forecasting analytics * Experience implementing Change Data Capture (CDC) methodologies * Experience with NoSQL or graph database technologies * Experience with machine learning model deployment and maintenance * Experience implementing CI/CD pipelines and DataOps practices * Knowledge of Java, Scala, JavaScript, or Perl * Experience supporting enterprise analytics and visualization platforms ## Description We are seeking a highly experienced Senior Data Architect / Data Engineer to support a large-scale data modernization initiative focused on transforming legacy data environments into modern cloud-based analytical platforms. This role will be responsible for designing, developing, and optimizing enterprise data architectures, scalable ETL/ELT pipelines, and advanced analytics infrastructure to support economic forecasting, policy research, and enterprise reporting initiatives. The ideal candidate is a hands-on technical expert with deep experience in enterprise data engineering, cloud technologies, workflow orchestration, database architecture, and large-scale data integration. This individual will collaborate closely with research teams, data analysts, architects, and business stakeholders to improve data accessibility, scalability, governance, and operational efficiency., * Design, develop, and maintain scalable enterprise data architectures and analytical platforms * Build and optimize robust ETL/ELT pipelines for ingesting, transforming, and delivering structured and unstructured data * Develop scalable database solutions, data lakes, and enterprise data platforms * Create conceptual, logical, and physical data models aligned with business and research objectives * Implement data integration strategies across multiple on-premises and cloud-based systems Data Pipeline Development * Design and automate data workflows using modern orchestration tools * Develop scalable data processing frameworks for high-volume datasets * Optimize data flows, database performance, and pipeline efficiency * Implement monitoring, validation, and data quality controls across all data systems Cloud & Platform Modernization * Support migration of legacy systems and workflows to modern cloud platforms * Implement scalable cloud-native data solutions and automation frameworks * Collaborate on enterprise modernization and DataOps initiatives * Assist with CI/CD implementation and deployment automation for data platforms Database & System Administration * Design and maintain relational and enterprise database structures * Develop backup, recovery, and access security procedures * Maintain metadata documentation, data dictionaries, and technical specifications * Ensure data integrity, governance, and compliance standards are maintained Collaboration & Stakeholder Support * Partner with economists, analysts, technical teams, and business stakeholders * Translate complex business requirements into scalable technical solutions * Provide technical leadership and recommendations for future-state architecture * Support analytics, visualization, and reporting initiatives Process Improvement & Innovation * Identify opportunities for automation and operational efficiency improvements * Conduct root cause analysis for data and system-related issues * Contribute to enterprise data architecture standards and best practices * Support adoption of advanced analytics and machine learning capabilities ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)