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Data Architect Data Jobs in Nebraska (NOW HIRING)

Data Governance Engineer

Omaha, NE

$104K - $124K/yr

Support Data Architecture & Platform Optimization * Partner with data engineering teams to optimize governance capabilities across modern cloud data platforms. * Support administration and continuous ...

Data Governance Engineer

Omaha, NE · On-site

$109K - $131K/yr

Support Data Architecture & Platform Optimization * Partner with data engineering teams to optimize governance capabilities across modern cloud data platforms. * Support administration and continuous ...

Data Governance Engineer

Omaha, NE · On-site

$104K - $124K/yr

Support Data Architecture & Platform Optimization * Partner with data engineering teams to optimize governance capabilities across modern cloud data platforms. * Support administration and continuous ...

Experience supporting modern data architecture initiatives including data mesh and cloud-native platforms preferred * Demonstrated experience building governance programs that include policy ...

You will collaborate with cross-functional teams, including data scientists, engineers, and ... Responsibilities: - Lead the architectural design and development of AI solutions, including ...

They will architect core systems to collect, consolidate, and organize data efficiently, making it accessible and well-documented for downstream teams to use in various tools and workflows. Working ...

They will architect core systems to collect, consolidate, and organize data efficiently, making it accessible and well-documented for downstream teams to use in various tools and workflows. Working ...

The Data Systems Analyst serves as an independent quality function within the Data Engineering organization, partnering closely with business stakeholders, data engineers, data architects, product ...

Lead Data Engineer

Omaha, NE · On-site

$98K - $129K/yr

You'll collaborate across departments to translate data needs into reliable technical solutions, serve as a mentor to junior engineers, and help shape the future of their data architecture. This role ...

Data Engineer

Omaha, NE · Hybrid

$109K - $131K/yr

Data Pipelines and Architecture while ensuring Data Integrity * Participates in Agile Ceremonies/on Agile Team * Leads and facilitates collaboration among the team * Regularly assists and guides ...

AWS Certified Solutions Architect Professional or equivalent certifications are highly preferred * 10 to 15 years of experience in platform architecture, data architecture, or enterprise systems ...

Showing results 21-40

Data Architect Data information

What is the difference between Data Architect Data vs Data Engineer?

AspectData Architect DataData Engineer
CredentialsTypically requires a bachelor's degree in computer science, data management, or related fields; certifications like CDMP or AWS Certified Data AnalyticsSimilar credentials; often holds degrees in computer science or software engineering; certifications like Google Cloud Professional Data Engineer
Work EnvironmentDesigns data systems, works on architecture planning, collaborates with stakeholdersBuilds and maintains data pipelines, implements data solutions, works closely with Data Architects
Industry UsageUsed across industries for designing enterprise data systemsCommonly employed in data pipeline development and data processing tasks

Data Architects Data focus on designing the overall data infrastructure and architecture, while Data Engineers implement and maintain the data pipelines and systems based on that architecture. Both roles are essential and often collaborate closely in data management projects.

How much do data architects make?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can earn higher salaries, often exceeding $160,000 annually.

How much does a data architect get paid?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher salaries, often exceeding $160,000 annually.

What does a data architect do?

A data architect designs and manages the overall structure of an organization’s data systems, including databases and data pipelines. They develop data models, establish data standards, and ensure data security and quality, often using tools like SQL, cloud platforms, and data modeling software. Strong analytical skills and knowledge of data governance are essential for this role.

What are popular job titles related to Data Architect Data jobs in Nebraska?

For Data Architect Data jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Data Architect Data jobs in Nebraska look for?

The top searched job categories for Data Architect Data jobs in Nebraska are:

What cities in Nebraska are hiring for Data Architect Data jobs?

Cities in Nebraska with the most Data Architect Data job openings:

Manager of Data Management and Scrum Master

Creighton University

Omaha, NE • On-site

Full-time

Re-posted 23 days ago


Creighton University rating

8.4

Company rating: 8.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

99th of 618 rated colleges and universities


Job description

The Manager of Data Management is responsible for leading the day-to-day delivery and operational execution of the University's enterprise data initiatives. Reporting to the Director of Data Management, this role manages a team of data engineers, analysts, developers and database administrators, while serving as Scrum Master to ensure agile delivery of data products and platform capabilities.

This position translates enterprise data strategy into actionable roadmaps, manages the team backlog, facilitates agile ceremonies, and ensures high-quality, secure, and scalable data solutions that support analytics, integration, and institutional decision-making.

The Manager partners closely with data governance, analytics, infrastructure, and campus stakeholders to ensure that data solutions align with institutional priorities and comply with governance and security standards.

Essential Functions:

Team Leadership & Development
    Provide direct supervision and mentorship to data engineers and developers.
    Support career development and skill growth aligned with modern data practices.
    Encourage collaboration, accountability, and agile best practices.
    Assist in hiring, onboarding, and performance management processes.

Agile Delivery & Scrum Leadership
    Serve as Scrum Master for the data management team, facilitating sprint planning, daily stand-ups, retrospectives, and backlog refinement.
    Partner with the Director to translate strategic priorities into deliverable work items and sprint goals.
    Remove blockers and ensure smooth workflow across the team.
    Track delivery metrics and team performance using agile practices.
    Promote continuous improvement and agile maturity within the team.

Platform Operations & Optimization
    Oversee day-to-day health of data platforms, pipelines, and tools.
    Monitor performance and recommend improvements in collaboration with architecture leadership.
    Coordinate with support, organizing bug fixes and incidents for engineers and admins
    Coordinate with Infrastructure & Operations for platform stability and recovery readiness.

Data Platform & Pipeline Delivery
    Lead the implementation of data pipelines, integrations, and platform capabilities.
    Coordinate development of ETL/ELT workflows supporting analytics and operational systems.
    Working with architect, align with enterprise data architecture and governance standards.
    Support deployment, testing, and release management processes.

Data Integration & API Execution
    Manage development and maintenance of system integrations and API implementations.
    Maintain alignment with the University API catalog and integration strategy.
    Ensure data consistency and alignment with governance definitions and business rules.

Data Quality & Operational Governance
    Operationalize data governance standards through implementation practices.
    Monitor data quality processes including validation, cleansing, and monitoring.
    Ensure access provisioning aligns with approved governance workflows.
    Support audit readiness and compliance activities.

Data Governance Implementation:
    Standard Operating Procedure  Development: Collaborate with the University's Analytics and Institutional Reporting (AIR) unit and other applicable groups, to develop and implement data governance policies and procedures that ensure data quality, compliance, and security.
    Compliance Monitoring: Monitor compliance with data governance policies and regulatory requirements, addressing any issues or gaps as needed.

Platform Management:
    Platform Selection: Evaluate and select data management platforms that meet the organization's needs for scalability, performance, and cost-effectiveness.
    Platform Optimization: Continuously optimize data management platforms to ensure they support evolving business requirements and technological advancements.
    Vendor Management: Manage relationships with platform vendors and service providers, ensuring they deliver high-quality products and services.

Team Leadership:
    Team Development: Build and lead a high-performing team of data professionals, providing mentorship, training, and career development opportunities.
    Collaboration: Foster a collaborative and innovative team culture that encourages knowledge sharing and continuous improvement.
    Performance Management: Set performance goals and conduct regular performance reviews to ensure team members meet or exceed expectations.

Stakeholder Collaboration:
    Partner Alignment: Work closely with campus leaders to understand their data needs and ensure data initiatives align with university objectives.
    Cross-Functional Collaboration: Collaborate with IT, AIR, and other departments to deliver integrated data solutions.
    Communication: Communicate data management strategies, progress, and outcomes to partners at all levels of the university.

Qualifications:

    Bachelor's degree in computer science, Information Technology, Data Science, or a related field; Masters degree preferred.
    5-7+ years of experience in data management, with a focus on data architecture, data integration, and database administration.
    Proven experience leading people and creating great work environments
    Proven experience and understanding of agile methodologies with certification preferred.
    Proven experience in leading data initiatives and managing enterprise data lakes.
    Strong experience with API first data strategies

Knowledge, Skills, and Abilities

    Agile methodology and utilization of PPM tools to manage processes
    Ability to professionally articulate the IT vision, goals, and strategy while implementing proactive change in support of strategic goals. 
    Experience facilitating operational planning exercises both internal and external to IT.
    Strong analytical skills
    Ability to cultivate trust and credibility with colleagues, including external constituents. 
    Good understanding of advanced technical components and system interactions
    Expert proficiency in Business case, functional and technical requirement documentation
    Ability to resource plan & manage in a direct reporting and matrixed environment

Soft Skills 
    Strong customer relationship management
    Strong commitment to the mission of Creighton University
    Skilled at giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
    Ability to communicate effectively and frequently both verbally and in writing.
    Ability to manage and resolve conflicts.
    Knowledge of principles and processes for providing customer and personal services. This includes customer needs assessment, meeting quality standards for services, and evaluation of customer satisfaction.
    Ability to influence multiple stakeholders without direct authority.
    Business acumen coupled with technical knowledge.
    Strong research skills with attention to detail
    Ability to conduct cost/benefit analysis and business case development.
    Must be able to work independently and proactively.
    Excellent organizational, analytical, and independent problem-solving skills 
    Demonstrated understanding of client relationship management, process mapping and improvement, project management, and production support
    Proven ability to provide business analysis for large scope project teams to meet customer expectations. 
    Demonstrated understanding of business analyst tools and techniques; demonstrated proficiency using MS Office and Visio tools

Creighton University is committed to providing a safe and non-discriminatory educational and employment environment. The University admits qualified students, hires qualified employees and accepts patients for treatment without regard to race, color, religion, sex, marital status, national origin, age, disability, citizenship, sexual orientation, gender identity, gender expression, veteran status, or other status protected by law. Its education and employment policies, scholarship and loan programs, and other programs and activities, are administered without unlawful discrimination. Creighton complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Applicants with disabilities needing reasonable accommodations to complete the application or hiring process should contact Human Resources at HR@creighton.edu. Creighton University seeks candidates who understand, respect, and can contribute to the University's mission and values. 


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