Lorven Technologies

Manage and administer FileCloud and AWS VDI infrastructure ensuring security, support, and reliable operations. | Requires extensive experience with FileCloud administration, AWS infrastructure management, advanced security, patching, and strong communication skills. | Job description: The Iowa Department of Management (DOM) is seeking a skilled FileCloud Administrator with expertise in AWS and AWS VDI. This position will renew on 7/1/26 through 6/30/27 Key: FileCloud Administration - 5+ years . This role serves as the primary administrator for the DIAL AWS GovCloud environment, overseeing essential platforms such as AMANDA, FileCloud, and the DIAL Virtual Desktop Infrastructure (VDI). In addition to managing these cloud-based systems, the position is responsible for FileCloud administration, delivering comprehensive technical support to all FileCloud users. By maintaining these critical environments, they help ensure reliable operations and seamless user experiences across the organization. The Iowa Department of Management (DOM) is seeking a skilled Infrastructure Technical Specialist (ITS) with expertise with AWS, AWS VDI and FileCloud. This role is responsible for cloud infrastructure management, monitoring, security and compliance, collaboration and support, and deployment. Required Skill Set Demonstrated through prior experience the ability to: • FileCloud administrator for handling staff onboarding, troubleshooting issues, and providing technical support to users. • Manage AWS infrastructure for VDI. • Knowledge of advanced system security methods and techniques. • Complete assigned tasks, provide clear status updates, adhere to quality standards, and work collaboratively. • Handle on-call nightly and weekend patching, upgrades, and troubleshooting. • Excellent verbal and written communication skills are essential for effectively collaborating with multiple teams. • Work independently with little supervision or guidance. • Exhibit initiative by proactively learning new systems, processes, and aspects of business functionality independently. Requirements • Broad experience with cloud adoption, including application readiness assessment, prototyping of new environments, server builds, data migration. • Experience as an enterprise systems administrator in a client or server environment, including deployment automation tools. • Experience in a customer-facing capacity, support, or consulting role • Experience with cloud service provider offerings like Microsoft Azure or Amazon Web Services (AWS) or Google Cloud Platform (GCP) • Experience with design and implementation of distributed systems architecture on private or public cloud infrastructure • Experience with troubleshooting very complex distributed environments pertaining to connectivity & app performance and monitoring tools & offering • Experience working with cloud platforms • Extensive knowledge of systems including Hardware, software, networking, and storage • High-level strategic planning & advice to an entity that will allow for the successful adoption or migration of Cloud-based technologies or services • Performance tuning of cloud environments. • Robust proficiency in Windows, Linux & CLI with 1-2 years of experience in VM infrastructure • Strong written and oral communication skills • Technical knowledge of infrastructure components such as Network, Storage, Linux/Windows, Application knowledge of Java, .Net, and IT security Skill matrix: FileCloud Administration experience handling staff onboarding, troubleshooting issues & providing technical support to users. Required 8 Years Demonstrated through prior experience the Ability to Manage AWS infrastructure for VDI. Required 5 Years Demonstrated through prior experience the Ability to Manage AWS infrastructure supporting business applications. Required 5 Years Demonstrated through prior experience the Knowledge of advanced system security methods and techniques. Required 5 Years Demonstrated through prior experience the ability to Complete assigned tasks, provide clear status updates, adhere to quality standards & work collabo Required 5 Years Demonstrated through prior experience the ability to Handle on-call nightly and weekend patching, upgrades, and troubleshooting. Required 5 Years Excellent verbal and written communication skills are essential for effectively collaborating with multiple teams. Required 5 Years Work independently with little supervision or guidance. Required 5 Years Exhibit initiative by proactively learning new systems, processes, and aspects of business functionality independently. Required

Design and develop scalable data models and pipelines to support data ingestion, processing, and retrieval for financial services. | Requires 5+ years in data engineering, proficiency with Snowflake/PostgreSQL, Python, SQL, and cloud data platforms, plus strong analytical and problem-solving skills. | Role - Data Engineer (IC3) (Strong SQL) Remote Contract Team: We are seeking an experienced and motivated Senior Data Engineer to drive high standard technical solutions for the Data Products team within the SIPS (Spend, Invest, Protect, Save) division - supporting Financial Services. The mission of the SIPS Data Engineering team is to support Data Engineering and reporting for Financial Services products. As a technical leader you will lead the vision and strategy to build foundational and critical data models which are highly leveraged across for analytical, reporting, and machine learning use-cases. Our goal is to empower consumers to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data. Role: A talented, enthusiastic, detail-oriented, and experienced Data Engineer who knows how to take on big data challenges in an agile way. This includes big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. Leads development of some of the most critical data pipelines and data sets, and expands self-service data knowledge and capabilities. This role requires you to live at the cross section of data and engineering. You should have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on the highest standards on operations in ETL and big data pipelines. What you'll do: Design and develop robust data models and pipelines to support data ingestion, processing, storage, and retrieval. Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically. Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs. Effectively communicate complex technical concepts to non-technical stakeholders. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically, Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations. Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls. What you'll need: A bachelor's degree in Computer Science, Data Science, Engineering, or a related field; 5+ years of experience in data engineering and analytics technical strategy. Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others.. Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP Strong in Python and/or another data centric language. Thorough knowledge of data modeling, database design, data architecture principles, and data operations. Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans. Experience in the Fintech industry is advantageous.

Design and develop scalable data models and pipelines to support data ingestion, processing, and retrieval. | Requires 5+ years data engineering experience, proficiency with SQL, Python, cloud databases, and data architecture principles. | Role - Data Engineer (IC3) (Strong SQL) Remote Contract Team: We are seeking an experienced and motivated Senior Data Engineer to drive high standard technical solutions for the Data Products team within the SIPS (Spend, Invest, Protect, Save) division - supporting Financial Services. The mission of the SIPS Data Engineering team is to support Data Engineering and reporting for Financial Services products. As a technical leader you will lead the vision and strategy to build foundational and critical data models which are highly leveraged across for analytical, reporting, and machine learning use-cases. Our goal is to empower consumers to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data. Role: A talented, enthusiastic, detail-oriented, and experienced Data Engineer who knows how to take on big data challenges in an agile way. This includes big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. Leads development of some of the most critical data pipelines and data sets, and expands self-service data knowledge and capabilities. This role requires you to live at the cross section of data and engineering. You should have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on the highest standards on operations in ETL and big data pipelines. What you'll do: Design and develop robust data models and pipelines to support data ingestion, processing, storage, and retrieval. Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically. Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs. Effectively communicate complex technical concepts to non-technical stakeholders. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically, Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations. Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls. What you'll need: A bachelor's degree in Computer Science, Data Science, Engineering, or a related field; 5+ years of experience in data engineering and analytics technical strategy. Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others.. Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP Strong in Python and/or another data centric language. Thorough knowledge of data modeling, database design, data architecture principles, and data operations. Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans. Experience in the Fintech industry is advantageous.

Design and develop scalable data models and pipelines for financial services data products. | Requires 5+ years data engineering experience, proficiency in Snowflake, PostgreSQL, Python, SQL, and cloud data platforms. | Role - Data Engineer (IC3) (Strong SQL) Remote Contract Team: We are seeking an experienced and motivated Senior Data Engineer to drive high standard technical solutions for the Data Products team within the SIPS (Spend, Invest, Protect, Save) division - supporting Financial Services. The mission of the SIPS Data Engineering team is to support Data Engineering and reporting for Financial Services products. As a technical leader you will lead the vision and strategy to build foundational and critical data models which are highly leveraged across for analytical, reporting, and machine learning use-cases. Our goal is to empower consumers to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data. Role: A talented, enthusiastic, detail-oriented, and experienced Data Engineer who knows how to take on big data challenges in an agile way. This includes big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. Leads development of some of the most critical data pipelines and data sets, and expands self-service data knowledge and capabilities. This role requires you to live at the cross section of data and engineering. You should have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on the highest standards on operations in ETL and big data pipelines. What you'll do: Design and develop robust data models and pipelines to support data ingestion, processing, storage, and retrieval. Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically. Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs. Effectively communicate complex technical concepts to non-technical stakeholders. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically, Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations. Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls. What you'll need: A bachelor's degree in Computer Science, Data Science, Engineering, or a related field; 5+ years of experience in data engineering and analytics technical strategy. Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others.. Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP Strong in Python and/or another data centric language. Thorough knowledge of data modeling, database design, data architecture principles, and data operations. Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans. Experience in the Fintech industry is advantageous.

Lead modernization and migration of enterprise data platforms using Microsoft Fabric and related technologies. | Requires expertise in Microsoft Fabric, Delta Lake, Spark optimization, data modeling, and governance with collaboration across business and vendors. | Role: Lead Data Architect - Microsoft Fabric Location: Remote (local to New Jersey is preferred) Job Type: Contract • Lead the modernization of Clients data platform using Microsoft Fabric, Delta Lake, and medallion architecture. • Drive migration of legacy SQL Server/SSIS processes into Fabric-native pipelines, notebooks, Lakehouses, and Warehouses. • Define architecture, CDC strategy, schema evolution, and SCD Type 2 standards across ingestion layers. • Optimize Spark notebooks, Fabric pipelines, Delta tables, and warehouse SQL workloads for performance and cost. • Design scalable enterprise data models across Finance, Supply Chain, Sales, and Operations. • Support MDM modernization including Customer Master and Business Unit Master. • Strengthen data governance, lineage, and quality with Purview. • Partner with business teams to support analytics needs and month-end close. • Provide guidance on platform strategy, capacity planning, and cost optimization. • Collaborate with Microsoft and other vendors on engineering, troubleshooting, and roadmap planning.