Senior Data Architect Jobs

Job DescriptionECS is seeking a Senior Data Architect to work Quantico, VA .Are you ready to play a crucial role in supporting cutting-edge technology for law enforcement and scientific organizations supporting the collection, processing, and analysis of data ? ECS is seeking a highly skilled and motivated Data Architect to join our team and make a positive impact working in at the intersection of traditional IT and specialized Operational Technology (OT) systems.As a Data Architect, you will lead and support teams driving improvements in data analysis and integration across systems to enhance mission operations and ensure data integrity, security, and usability for the organization.In this role, you'll have the opportunity to:• Lead the development and implementation of strategic data modernization initiatives to support the advancement of data management and governance, cross-system integration, analytics, and data literacy.• Manage and secure mission-critical IT infrastructure, including servers, networks, and databases that support law enforcement operations and scientific analysis• Maintain and troubleshoot specialized OT systems, such as laboratory equipment, scientific instruments, and data acquisition devices• Implement and maintain robust cybersecurity measures to protect sensitive data and critical systems• Collaborate with diverse teams of law enforcement professionals and scientists to understand their unique technological needs and provide tailored solutions• Stay at the forefront of emerging technologies and apply them to enhance our organization's capabilitiesThis is a senior-level role designed for an expert in designing, developing, and implementing data systems, architectures, and solutions that meet the evolving needs of the organization. You will work across teams to drive data strategy, ensure data governance, and design efficient, scalable data infrastructures that support complex mission and business requirements.To provide support data architecture, engineering , and analysis initiatives for law enforcement and scientific organizations. Responsibilities of the Senior Data Architect include but are not limited to:• Designs and develops data architectures that ensure efficient storage, retrieval, security, integration, and management of complex data sets .• Leads the development of enterprise data architectures, strategies, and solution recommendations in support of strategic business and mission objectives .• Leads design of high-level conceptual and logical models that facilitate a cross-system/cross functional view of data requirements.• Establishes processes for governing the identification, collection, and use of corporate metadata and takes steps to assure metadata accuracy, validity, and quality.• Ensure data governance best practices are followed, including data quality, security, privacy, and compliance with industry standards and regulations.• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to build data solutions that support analytical and operational needs.• Provide expertise in the areas of data modeling, data lifecycle management, and advanced database technologies.• Conduct assessments of current data systems and recommend improvements or redesigns to support business growth and evolving data needs.• Reviews object and data models and the metadata repository to structure the data for better management and quicker access.• Support data migration and database consolidation initiatives to improve performance and efficiency.• Supports the development of data visualization services to present complex data in an understandable and actionable manner• Promote best practice adoption and conduct training sessions to reinforce data literacy an d analytics capabilities of the customer organizationRequired Skills• US citizenship required per contract with active Top-Secret clearance• 10+ years of experience in computer systems engineering and data architecture, with a proven track record in designing and managing large-scale data systems.• Deep expertise in building and maintaining complex data architectures, including data warehouses, data lakes, and hybrid cloud environments.• Extensive experience in designing and implementing data integration strategies using ETL (Extract, Transform, Load) tools, APIs, and data pipelines.• Expertise in data performance tuning, query optimization, and managing large-scale datasets for speed and scalability.• Strong ability to understand business requirements and translate them into effective data architectures that support business objectives .• Excellent analytical and problem-solving skills, with the ability to troubleshoot and resolve complex data and systems issues• Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization• Ability to work hands on with developers to deliver solutions and provide customer facing support and solutioning• Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions• Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions• Experience working in Agile environment leveraging advanced design and engineering best practices• Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management• Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and toolsDesired Skills• Experience working with Federal National Security, Defense, or Law Enforcement Organizations.• Experience with a range of Database and Data Engineering technologies including, but not limited to Microsoft SQL, Oracle, and PostgreSQL , Python, Flask, Java, PostgreSQL, Bash scripting, API development, C I /CD pipeline tools operating in multiple development environments (on-prem vs cloud)• Demonstrated knowledge of or implementation experience in data science, for example, natural language processing, machine learning, Bayesian thinking, or advanced mathematics• Experience implementing processes and process controls for achieving data-driven Service Level Objectives, for large-scale enterprise systems• Excellent communication, collaboration and relationship-building skills, including customer and employee engagement• Experience operating within the Scaled Agile Framework (SAFe) and KanbanECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis of race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law.ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3800+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.