NiSource
Sr. Data Architect
The Senior Data Architect plays a crucial role in creating high-quality data models and structures to support downstream analytics, reporting, and application requirements. Collaborating with business, IT, and analytics colleagues, the Senior Data Architect understands data needs and designs optimized structures. The Senior Data Architect's models reduce redundancy, streamline data flow, and enhance enterprise data management. Leveraging best practices, the Senior Data Architect creates timely, reliable, and scalable data products. As a recognized subject matter expert, the Senior Data Architect tackles complex problems with a broad perspective. Your responsibilities may include, but are not limited to: Technical Leadership - Contributes to data architecture strategy for complex projects from beginning-to-end, effectively communicates data architecture concepts to a non-technical audience. Data Architecture Design - Contributes to the design and implements scalable data architecture that will support analytics, machine learning, and reporting for business intelligence. Data Integration - Develop and maintain data integration processes to ensure seamless data flow across sources. Collaboration - Interacts with business analysts, data product owners, data governance, data scientists, and other stakeholders to create and improve data models and products. Data Modeling - Implements data strategies based on business requirements, develops data models to support data needs while ensuring flexibility to enhance and adapt to new data needs. Documentation - Maintain comprehensive documentation of data architecture and processes. Innovation - Stays updated with industry trends, drives innovation in data architecture practices. You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Required Qualifications: Bachelor's Degree or equivalent work experience 4+ years of experience in data modeling, data architecture, or data engineering 1+ year of hands-on experience with physical and relational data modeling 1+ year of experience building and optimizing big-data pipelines, architectures, and data sets 1+ year of experience with cloud data products in platforms such as AWS, Azure, GCP Preferred Qualifications: Experience with Erwin data modeling This role does not qualify for sponsorship. Authorized to work in the United States without requiring sponsorship now or in the future. Work Authorization: Authorized to work in the United States without requiring sponsorship. Workplace Connection: Value inclusion within your day to day responsibilities by respecting others perspectives/convictions, engaging others opinions, creating a safe environment where people, ideas, and opinions are valued within your Team/Customers and external partners. Respect the unique lived experiences within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represent all walks of life and all backgrounds. Treat others with respect and consideration. Actively participate in creating and contributing to a positive work environment. Equal Employment Opportunity: NiSource is committed to providing equal employment opportunities in each of its companies to all employees and applicants for employment without regard to race, color, religion, national origin or ancestry, veteran status, disability, gender, age, marital status, sexual orientation, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), genetic information, citizenship status, or any protected group status as defined by law. Each employee is expected to abide by this principle. Safety Statement: Promote a safe work environment by actively participating in all aspects of our employee safety program. Report any unsafe conditions and take actions to prevent personal injuries. Support our interdependent safety culture by ensuring the safety of your co-workers. Stay focused on the task at hand and promote productivity through good work habits. Salary Range*: $110,200.00 - $165,300.00 *The salary offered to a candidate is based on several factors including but not limited to the candidate's skills, job-related knowledge, and relevant experience, as well as internal pay equity.
The Senior Data Architect plays a crucial role in creating high-quality data models and structures to support downstream analytics, reporting, and application requirements. Collaborating with business, IT, and analytics colleagues, the Senior Data Architect understands data needs and designs optimized structures. The Senior Data Architect's models reduce redundancy, streamline data flow, and enhance enterprise data management. Leveraging best practices, the Senior Data Architect creates timely, reliable, and scalable data products. As a recognized subject matter expert, the Senior Data Architect tackles complex problems with a broad perspective. Your responsibilities may include, but are not limited to: Technical Leadership - Contributes to data architecture strategy for complex projects from beginning-to-end, effectively communicates data architecture concepts to a non-technical audience. Data Architecture Design - Contributes to the design and implements scalable data architecture that will support analytics, machine learning, and reporting for business intelligence. Data Integration - Develop and maintain data integration processes to ensure seamless data flow across sources. Collaboration - Interacts with business analysts, data product owners, data governance, data scientists, and other stakeholders to create and improve data models and products. Data Modeling - Implements data strategies based on business requirements, develops data models to support data needs while ensuring flexibility to enhance and adapt to new data needs. Documentation - Maintain comprehensive documentation of data architecture and processes. Innovation - Stays updated with industry trends, drives innovation in data architecture practices. You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Required Qualifications: Bachelor's Degree or equivalent work experience 4+ years of experience in data modeling, data architecture, or data engineering 1+ year of hands-on experience with physical and relational data modeling 1+ year of experience building and optimizing big-data pipelines, architectures, and data sets 1+ year of experience with cloud data products in platforms such as AWS, Azure, GCP Preferred Qualifications: Experience with Erwin data modeling This role does not qualify for sponsorship. Authorized to work in the United States without requiring sponsorship now or in the future. Work Authorization: Authorized to work in the United States without requiring sponsorship. Workplace Connection: Value inclusion within your day to day responsibilities by respecting others perspectives/convictions, engaging others opinions, creating a safe environment where people, ideas, and opinions are valued within your Team/Customers and external partners. Respect the unique lived experiences within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represent all walks of life and all backgrounds. Treat others with respect and consideration. Actively participate in creating and contributing to a positive work environment. Equal Employment Opportunity: NiSource is committed to providing equal employment opportunities in each of its companies to all employees and applicants for employment without regard to race, color, religion, national origin or ancestry, veteran status, disability, gender, age, marital status, sexual orientation, gender identity, sex (including pregnancy, lactation, childbirth or related medical conditions), genetic information, citizenship status, or any protected group status as defined by law. Each employee is expected to abide by this principle. Safety Statement: Promote a safe work environment by actively participating in all aspects of our employee safety program. Report any unsafe conditions and take actions to prevent personal injuries. Support our interdependent safety culture by ensuring the safety of your co-workers. Stay focused on the task at hand and promote productivity through good work habits. Salary Range*: $110,200.00 - $165,300.00 *The salary offered to a candidate is based on several factors including but not limited to the candidate's skills, job-related knowledge, and relevant experience, as well as internal pay equity.