{"schemaVersion":"jobsearcher.job.v1","id":"08748e2d512fd971a973cef7","url":"https://jobsearcher.com/jobs/08748e2d512fd971a973cef7","canonicalUrl":"https://jobsearcher.com/jobs/08748e2d512fd971a973cef7","title":"Data Architect","description":"The Data Architect plays a critical role in designing and implementing secure, scalable data architectures that integrate operational and enterprise data from sources such as SCADA systems, IoT devices, sensors, and business platforms. This position is responsible for developing a unified data ecosystem that enables real-time data processing, advanced analytics, and data-driven insights to support optimized operations, predictive maintenance, and informed decision-making.\r\nThe role ensures the integrity, security, and governance of data by establishing and enforcing industry-compliant standards, protecting sensitive water system information while promoting accessibility and reliability across the organization. Leveraging modern cloud technologies and data platforms, the Data Architect drives the transformation of data into a strategic asset, enhancing asset management, water quality monitoring, and overall operational performance supporting the delivery of safe, reliable, and high-quality water services.\r\nEssential Functions\r\nLead the design, development, and implementation of scalable and secure data architectures that support WSSC Water's operational systems and data needs\r\nDevelop and maintain data models, database schemas, and data warehouses tailored to the water and wastewater industry\r\nDesign, integrate and optimize real-time data pipelines to support the integration of operational data from various sources (e.g., SCADA, GIS, sensors, IoT devices, field data and enterprise systems)\r\nDesign ETL (Extract, Transform, Load) processes to ensure smooth, efficient data flow between operational systems and analytics platforms\r\nEnsure data consistency, quality, and availability across different platforms, supporting both historical and real-time analytics\r\nDevelop hybrid cloud architectures to leverage cloud computing platforms (e.g., AWS, Azure, GCP, OCI) while maintaining necessary on-premises solutions\r\nEnsure seamless integration between on-premises and cloud data environments for scalability, flexibility, and cost-effectiveness\r\nLead cloud migration initiatives, ensuring that legacy systems are efficiently transitioned to modern cloud-based infrastructure\r\nDesign robust security practices, including data encryption, access controls, and data masking protocols, to protect sensitive water and wastewater data, ensuring compliance with regulatory requirements\r\nCollaborate with IT security teams to establish data governance frameworks, risk mitigation strategies, and incident response plans\r\nEstablish and enforce data governance policies and practices to ensure data accuracy, consistency, and reliability across all systems\r\nDevelop frameworks for data lineage, metadata management, and data cataloging to improve data traceability and transparency\r\nLead initiatives to improve data quality by identifying issues and implementing solutions for cleansing, standardization, and validation\r\nDesign data architecture to support advanced analytics, machine learning, and AI workloads for predictive modeling, asset management, and operational optimization\r\nEnsure that data infrastructure supports real-time analytics for enhanced decision-making and monitoring of water quality, usage patterns, and infrastructure performance\r\nWork closely with data science teams to provide the necessary data structures and processes to enable data-driven insights\r\nDocument data architecture designs, processes, and systems to ensure transparency, maintainability, data usage, integration procedures, and security protocols to enable team collaboration and compliance\r\nConduct training and knowledge-sharing sessions for internal teams to improve understanding of data systems and best practices\r\nQualifications\r\nBachelor's degree\r\n8+ years experience as a Data Architect or in a similar data-related role, with a focus on designing and implementing large-scale data systems\r\n3+ years experience working with cloud data management platforms such as Azure Synapse Analytics and Azure Databricks\r\nExperience with big data technologies such as Apache Spark, Hadoop, or equivalent, and cloud data storage solutions (e.g., Azure Data Lake Storage)\r\nProficiency in SQL, Python, or Scala for data processing and transformation\r\nKnowledge of data modeling and data warehousing concepts for designing scalable data architectures\r\nKnowledge of data governance principles, such as metadata management, data lineage, data cataloging, and data quality standard\r\nStrong analytical and troubleshooting skills, with the ability to optimize data systems and resolve technical challenges related to performance, security, and scalability\r\nAbility to communicate complex technical concepts to non-technical stakeholders\r\nStrong collaboration skills to work with cross-functional teams and lead data-related projects\r\nOR\r\nHigh school diploma or equivalent\r\n12+ years experience as a Data Architect or in a similar data-related role, with a focus on designing and implementing large-scale data systems\r\n3+ years experience working with cloud data management platforms such as Azure Synapse Analytics and Azure Databricks\r\nExperience with big data technologies such as Apache Spark, Hadoop, or equivalent, and cloud data storage solutions (e.g., Azure Data Lake Storage)\r\nProficiency in SQL, Python, or Scala for data processing and transformation\r\nKnowledge of data modeling and data warehousing concepts for designing scalable data architectures\r\nKnowledge of data governance principles, such as metadata management, data lineage, data cataloging, and data quality standards\r\nStrong analytical and troubleshooting skills, with the ability to optimize data systems and resolve technical challenges related to performance, security, and scalability\r\nAbility to communicate complex technical concepts to non-technical stakeholders\r\nStrong collaboration skills to work with cross-sectional teams and lead data-related projects\r\nJ-18808-Ljbffr","company":"Koitecc Solutions","rawCompany":"koitecc solutions","city":"Laurel","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:14:48.386Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"221310","title":"Water Supply and Irrigation Systems","slug":"water-supply-and-irrigation-systems"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Architect","description":"The Data Architect plays a critical role in designing and implementing secure, scalable data architectures that integrate operational and enterprise data from sources such as SCADA systems, IoT devices, sensors, and business platforms. This position is responsible for developing a unified data ecosystem that enables real-time data processing, advanced analytics, and data-driven insights to support optimized operations, predictive maintenance, and informed decision-making.\r\nThe role ensures the integrity, security, and governance of data by establishing and enforcing industry-compliant standards, protecting sensitive water system information while promoting accessibility and reliability across the organization. Leveraging modern cloud technologies and data platforms, the Data Architect drives the transformation of data into a strategic asset, enhancing asset management, water quality monitoring, and overall operational performance supporting the delivery of safe, reliable, and high-quality water services.\r\nEssential Functions\r\nLead the design, development, and implementation of scalable and secure data architectures that support WSSC Water's operational systems and data needs\r\nDevelop and maintain data models, database schemas, and data warehouses tailored to the water and wastewater industry\r\nDesign, integrate and optimize real-time data pipelines to support the integration of operational data from various sources (e.g., SCADA, GIS, sensors, IoT devices, field data and enterprise systems)\r\nDesign ETL (Extract, Transform, Load) processes to ensure smooth, efficient data flow between operational systems and analytics platforms\r\nEnsure data consistency, quality, and availability across different platforms, supporting both historical and real-time analytics\r\nDevelop hybrid cloud architectures to leverage cloud computing platforms (e.g., AWS, Azure, GCP, OCI) while maintaining necessary on-premises solutions\r\nEnsure seamless integration between on-premises and cloud data environments for scalability, flexibility, and cost-effectiveness\r\nLead cloud migration initiatives, ensuring that legacy systems are efficiently transitioned to modern cloud-based infrastructure\r\nDesign robust security practices, including data encryption, access controls, and data masking protocols, to protect sensitive water and wastewater data, ensuring compliance with regulatory requirements\r\nCollaborate with IT security teams to establish data governance frameworks, risk mitigation strategies, and incident response plans\r\nEstablish and enforce data governance policies and practices to ensure data accuracy, consistency, and reliability across all systems\r\nDevelop frameworks for data lineage, metadata management, and data cataloging to improve data traceability and transparency\r\nLead initiatives to improve data quality by identifying issues and implementing solutions for cleansing, standardization, and validation\r\nDesign data architecture to support advanced analytics, machine learning, and AI workloads for predictive modeling, asset management, and operational optimization\r\nEnsure that data infrastructure supports real-time analytics for enhanced decision-making and monitoring of water quality, usage patterns, and infrastructure performance\r\nWork closely with data science teams to provide the necessary data structures and processes to enable data-driven insights\r\nDocument data architecture designs, processes, and systems to ensure transparency, maintainability, data usage, integration procedures, and security protocols to enable team collaboration and compliance\r\nConduct training and knowledge-sharing sessions for internal teams to improve understanding of data systems and best practices\r\nQualifications\r\nBachelor's degree\r\n8+ years experience as a Data Architect or in a similar data-related role, with a focus on designing and implementing large-scale data systems\r\n3+ years experience working with cloud data management platforms such as Azure Synapse Analytics and Azure Databricks\r\nExperience with big data technologies such as Apache Spark, Hadoop, or equivalent, and cloud data storage solutions (e.g., Azure Data Lake Storage)\r\nProficiency in SQL, Python, or Scala for data processing and transformation\r\nKnowledge of data modeling and data warehousing concepts for designing scalable data architectures\r\nKnowledge of data governance principles, such as metadata management, data lineage, data cataloging, and data quality standard\r\nStrong analytical and troubleshooting skills, with the ability to optimize data systems and resolve technical challenges related to performance, security, and scalability\r\nAbility to communicate complex technical concepts to non-technical stakeholders\r\nStrong collaboration skills to work with cross-functional teams and lead data-related projects\r\nOR\r\nHigh school diploma or equivalent\r\n12+ years experience as a Data Architect or in a similar data-related role, with a focus on designing and implementing large-scale data systems\r\n3+ years experience working with cloud data management platforms such as Azure Synapse Analytics and Azure Databricks\r\nExperience with big data technologies such as Apache Spark, Hadoop, or equivalent, and cloud data storage solutions (e.g., Azure Data Lake Storage)\r\nProficiency in SQL, Python, or Scala for data processing and transformation\r\nKnowledge of data modeling and data warehousing concepts for designing scalable data architectures\r\nKnowledge of data governance principles, such as metadata management, data lineage, data cataloging, and data quality standards\r\nStrong analytical and troubleshooting skills, with the ability to optimize data systems and resolve technical challenges related to performance, security, and scalability\r\nAbility to communicate complex technical concepts to non-technical stakeholders\r\nStrong collaboration skills to work with cross-sectional teams and lead data-related projects\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:14:48.386Z","dateModified":"2026-08-08T01:14:48.386Z","hiringOrganization":{"@type":"Organization","name":"Koitecc Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Laurel","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"08748e2d512fd971a973cef7"},"url":"https://jobsearcher.com/jobs/08748e2d512fd971a973cef7"}}