ZipRecruiter

Log In

1

Data Modernization Jobs in Missouri (NOW HIRING)

Keeley Construction

Snowflake Data Architect

Saint Louis, MO · Hybrid

$62 - $79.75/hr

Develop and maintain a multi-year enterprise data warehouse and data modernization roadmap aligned with business objectives. * Design AI-ready data architectures that support both structured and ...

Fabick Cat

Sr. Database Engineer

Fenton, MO · On-site

$101K - $138K/yr

This position plays a critical role in Fabick Cat's data modernization effort, helping define, build, test, and implement a future-state, cloud-based data architecture. This future-state architecture ...

New

John Fabick Tractor Company

Sr. Database Engineer

Fenton, MO · On-site

$101K - $138K/yr

This position plays a critical role in Fabick Cat's data modernization effort, helping define, build, test, and implement a future-state, cloud-based data architecture. This future-state architecture ...

New

Capstone IT

Principal Data Engineer

Springfield, MO · On-site

... modernization, and streaming ecosystems Support BI and analytics environments utilizing tools such as Domo, Sigma, Tableau, and related visualization technologies Manage offshore engineering ...

next page

Showing results 1-20

All JobsData Modernization JobsData Modernization Jobs in Missouri

Data Modernization information

What jobs pay $500,000 a year in the US?

In the field of data modernization, senior roles such as Chief Data Officer, Data Science Director, or Vice President of Data often have salaries reaching or exceeding $500,000 annually, especially in large organizations. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and may include performance bonuses and stock options.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and often involve overseeing large teams and strategic initiatives.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics and automation techniques to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization professionals, data analysts, and database administrators are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and strategic decision-making. These roles involve managing complex data systems, ensuring data quality, and applying domain expertise that AI cannot fully replicate. Skills in data governance, programming, and understanding AI tools will enhance job security in this field.
What are popular job titles related to Data Modernization jobs in Missouri? For Data Modernization jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Missouri look for? The top searched job categories for Data Modernization jobs in Missouri are:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Missouri as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Modernization & Governance Consultant

Stellar IT Group

Saint Louis, MO • On-site

Full-time

Re-posted 14 days ago

Job description

Overview:
Data Modernization & Governance Consultant
Location: Remote
Duration: 6-12+ months (long-term engagement)
Role Overview
Seeking a senior consultant to act as a strategic partner to analytics leadership, bridging business and IT to accelerate data modernization and governance initiatives. This role emphasizes soft skills, executive communication, and the ability to translate business needs into actionable technical requirements. The consultant will help define vision, document requirements, coordinate stakeholders, and drive execution across data, governance, and AI workstreams.
Key Responsibilities
  • Shape and document the organization's end-to-end data modernization vision.
  • Establish practical approaches for governance, role-based access, and operating models.
  • Partner closely with analytics leadership while serving as an on-the-ground liaison.
  • Translate business needs into clear technical requirements, plans, and documentation.
  • Build project artifacts including roadmaps, deliverables, status updates, and executive-ready presentations.
  • Support initiatives involving Denodo, Databricks, Watson, and related AI/data platforms.
  • Bring structure to fragmented data, migration, governance, and integration efforts.
  • Coordinate across US and India-based teams, managing dependencies and risks across pilots and POCs.
Required Experience
  • Senior-level consultant with strong technical fluency and program delivery instincts.
  • 5+ years of experience in data migration and modernization initiatives.
  • Familiarity with Databricks; exposure to Denodo, Watson, Snowflake, or similar platforms is a plus.
  • Strong stakeholder management and cross-functional collaboration skills.
  • Proven ability to produce clear documentation (SRS, technical artifacts, executive materials).
  • Experience navigating governance, ARB, and approval bottlenecks.
  • Strong communication, facilitation, and storytelling skills.
  • Pragmatic, organized, and execution-focused; able to operate independently in ambiguous environments.
  • PM/BA capability with stronger technical and delivery orientation than a pure project manager.
Success Factors
  • Provides a clear, documented vision for modernization efforts.
  • Improves alignment between business and IT teams.
  • Creates stronger documentation for smoother IT handoffs.
  • Accelerates momentum across pilots, POCs, and modernization workstreams.
  • Sets a practical foundation for future large-scale initiatives.
  • Prior M&A experience highly beneficial.
  • Attention to detail and ability to advance agendas with IT and executive stakeholders.

Skills:
DATA MIGRATION,modernization

Apply