Spantech Software, Inc. - Let’s find a match for you!

We specialize in connecting top-tier talent with the right opportunities. Whether you're an employer looking for skilled professionals or a candidate seeking your next career move, our placement services streamline the hiring process. With a focus on personalized matchmaking, industry insight, and long-term success, we’re committed to finding the perfect fit for every position.

View our placement opportunities in New England, the Mid-Atlantic, and the Carolinas below.

Job #NJPL-WF-007 – Cloud Data Warehouse Architect

Job Title: Cloud Data Warehouse Architect

Location: Raritan, NJ

Job Description:

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with a focus on cloud-based data warehousing and reporting solutions and driving efficiency within the organization. The role plays a pivotal role in defining data cloud architecture that requires close collaboration with application developers, data engineers, data analysts, data scientists, and BI developers to ensure seamless data integration and automation across various platforms. The Cloud Data Warehouse Architect is responsible for evaluating and selecting the most effective cloud technologies, data governance and compliance, and data warehouse process alignment with security best practices and industry regulations. The role demands passion for cutting-edge cloud solutions, performance optimization, and a proactive approach to troubleshooting complex data challenges in a fast-paced, highly collaborative environment. This role will enable the organization to build scalable, cost-efficient systems that support advanced analytics, business intelligence, and machine learning use cases.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.

• Define architecture standards and best practices for data warehousing and cloud infrastructure.

• Develop and manage backup strategies, disaster recovery plans, and failover mechanisms to ensure business continuity.

• Provide input for project plans and timelines to align with business objectives.

• Monitor project progress, identify risks, and implement mitigation strategies.

• Work with cross-functional teams and ensure effective communication and collaboration.

• Provide regular updates to the management team.

• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.

• Communicates and promotes the code of ethics and business conduct.

• Ensures completion of required company compliance training programs.

• Is trained – either through formal education or through experience – in software/hardware technologies and development methodologies. 

• Stays current through personal development and professional and industry organizations.

Additional Functions

• Design scalable, secure, and efficient data warehouse solutions on cloud platforms such as Azure,  Google Cloud, and AWS.

• Implement robust security measures to ensure data privacy and comply with regulatory standards.

• Leverage cloud-native automation tools to streamline data management and reduce manual processes.

• Design, build, and maintain automated data pipelines and ETL/ELT processes, ensuring scalability and reliability in data operations.

• Design and implement data integration solutions to automate data flow between systems and databases.

• Designs and develops cloud automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services.

• Monitors and troubleshoots the cloud data warehouse solutions, resolving any issues or errors.

• Provides training and support to the end users of the cloud solutions.

• Maintain detailed architecture documentation and best practices for the organization’s data cloud infrastructure.

• Stay up-to-date with cloud technologies and data architecture trends to recommend and implement new tools and solutions.

• Understands cloud FinOps, including chargeback and alert monitoring

Qualifications

• 5+ years of experience in cloud data warehouse design, cloud computing, and data architecture.

• A bachelor's degree or higher in computer science, information systems, or a related field.

• Deep understanding of cloud-based data warehousing solutions (e.g., Azure Fabric, Google BigQuery, AWS etc.)

• Knowledge of data security, encryption, and compliance in cloud environments.

• Understanding of DevOps practices and cloud infrastructure automation (CI/CD, Teraforms)

• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.

• Experience with data modeling tools.

• Familiarity with BI visualization tools such as Looker, Tableau, Microstrategy, PowerBI, or similar.

• Strong knowledge and skills in data management, data quality, and data governance.

• Strong communication, collaboration, and problem-solving skills.

• Ability to work on multiple projects and prioritize tasks effectively.

• Ability to work independently and in a team environment.                                                          

• Ability to learn new technologies and tools quickly.

• The ability to handle stressful situations.

• Highly developed business acuity and acumen.

• Strong critical thinking and decision-making skills.

Must have a Bachelor's degree in Computer Science or a related field and above-average communication skills.  NO THIRD PARTIES PLEASE.  Must be authorized to work in the US.

To apply, email careers@spantech.com.  Please attach a rèsumé and the Job # above.

Job #NJPL-WF-008 – enterprise Data Architect

Job Title: Enterprise Data Integration Architect

Location: Raritan, NJ

Job Description:

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with a focus on automating data processes and driving efficiency within the organization. This role requires close collaboration with application developers, data engineers, data analysts, and data scientists to ensure seamless data integration and automation across various platforms. The Enterprise Data Integration Architect is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.

• Implement and enforce data quality and governance standards to ensure accuracy and consistency.

• Provide input for project plans and timelines to align with business objectives.

• Monitor project progress, identify risks, and implement mitigation strategies.

• Work with cross-functional teams and ensure effective communication and collaboration.

• Provide regular updates to the management team.

• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.

• Communicates and promotes the code of ethics and business conduct.

• Ensures completion of required company compliance training programs.

• Is trained – either through formal education or through experience – in software/hardware technologies and development methodologies.

• Stays current through personal development and professional and industry organizations.

Additional Functions

• Design and implement data integration solutions to automate data flow between systems and databases.

• Optimize existing data workflows and processes to improve efficiency and scalability.

• Designs and develops data automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services.

• Design, build, and maintain automated data pipelines and ETL processes, ensuring scalability and reliability in data operations.

• Ensures the quality, security, and compliance of the data automation solutions and the data sources.

• Monitors and troubleshoots the data automation solutions, resolving any issues or errors.

• Provides training and support to the end users of the data automation solutions.

• Document technical specifications, processes, and procedures related to data automation.

Qualifications

• A bachelor's degree or equivalent experience in computer science and information systems.

• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)

• Strong knowledge in Integration Platform as a Service (iPaaS), such as Boomi, MuleSoft, etc.

• Experience working in hybrid environments (cloud/on-premise).

• Experience with enterprise integration patterns, APIs (REST/SOAP), and message brokers (e.g., Kafka, Pub/Sub).

• Strong knowledge and skills in data automation technologies, such as Python, Cloud data pipelines, ETL/ELT, SQL, etc.

• Proficiency in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.

• Experience with workflow orchestration tools such as GCP Cloud Composer or Airflow.

• Strong knowledge and skills in data management, data quality, and data governance.

• Proficiency with DevOps practices for data (CI/CD pipelines)

• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)

• Hands-on experience with Alteryx and IBM DataStage is a plus.

• Experience in extracting and integrating data from SAP is a plus.

• Familiarity with data modeling tools.

• Familiarity with BI visualization tools such as Microstrategy, Power BI, Looker, or similar.

• Strong communication, collaboration, and problem-solving skills.

• Ability to work on multiple projects and prioritize tasks effectively.

• Ability to work independently and in a team environment.

• Ability to learn new technologies and tools quickly.

• The ability to handle stressful situations.

• Highly developed business acuity and acumen.

• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

• This position requires in-person office presence at least 4x a week.

Must have a bachelor's degree in computer science or a related field, knowledge of IPaaS and Cloud Data Platform, and above-average communication skills.  NO THIRD PARTIES PLEASE.  Must be authorized to work in the US.

To apply, email careers@spantech.com.  Please attach a rèsumé and the Job # above.