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Data Modernization Jobs in Iowa (NOW HIRING)

Jobtailor

Director, Data Management

Des Moines, IA · On-site

$170 - $250/hr

Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems using Databricks or Snowflake * Hands-on experience with Databricks Lakehouse, PySpark, Delta Lake ...

Altorfer CAT

Enterprise Lead Data Engineer

Cedar Rapids, IA · On-site

$112K - $135K/yr

Serve as the technical lead for data platform design decisions and enterprise data modernization initiatives. Microsoft Fabric and Medallion Architecture * Design, build, and maintain Microsoft ...

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Altorfer CAT

Enterprise Lead Data Engineer

Cedar Rapids, IA · On-site

$100K - $132K/yr

Serve as the technical lead for data platform design decisions and enterprise data modernization initiatives. Microsoft Fabric and Medallion Architecture * Design, build, and maintain Microsoft ...

New

GreatAmerica

Data Architect

Cedar Rapids, IA · On-site

$62.75 - $80.75/hr

... modernization initiatives, including migrations from legacy platforms to cloud-based solutions. • Support scalability, performance tuning, and cost optimization of data platforms. • Build strong ...

Archer Daniels Midland

Software Modernization Lead: Industrial Automation Projects - Des Moines, IA This is a full-time, ... Expertise in configuring and programming control logic, HMI development, and data historian systems

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All JobsData Modernization JobsData Modernization Jobs in Iowa

Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

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.

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 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 are popular job titles related to Data Modernization jobs in Iowa?

For Data Modernization jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Data Modernization jobs in Iowa look for?

The top searched job categories for Data Modernization jobs in Iowa are:

Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Iowa as of August 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Director, Data Management

Jobtailor

Des Moines, IA • On-site

$170 - $250/hr

Other

Posted 11 days ago

Job description

  • Define and own the enterprise data platform strategy, ensuring scalability, performance, and cloud optimization
  • Oversee migration from legacy Azure SQL Server systems to an Azure Databricks Lakehouse using medallion architecture
  • Lead and mentor data engineers and guide the onsite and remote data engineering team
  • Partner with enterprise data and solution architects on data models, pipelines, and platform design
  • Transform a fragmented data ecosystem into a single source of truth for insurance domains
  • Drive cloud-native engineering best practices, including ETL/ELT optimization, CI/CD, DevOps, cost efficiency, and observability
  • Ensure data availability, scalability, and reliability for analytics, reporting, and digital initiatives
  • Collaborate with analytics and data science teams to enable advanced analytics, AI/ML, and self-service data access
  • Prioritize and manage the enterprise data portfolio and align investments with business value and strategic initiatives
  • Manage budget, resourcing, and vendor relationships
  • Evolve the platform roadmap based on emerging technologies such as Databricks, streaming, and AI/ML
  • Own the Databricks platform and guide business users on Lakehouse adoption
  • Report to the Chief Data & Analytics Officer
Requirements
  • Expertise with Azure Data Services, including Data Lake, Data Factory, Synapse, Event Hub, and Key Vault
  • Ability to lead teams while defining enterprise platform strategy and technical roadmap
  • Excellent communication and leadership skills to influence technical and business stakeholders
  • Familiarity with DAMA/DMBOK practices and standards
  • Familiarity with streaming/real-time ingestion, including Kafka and Event Hub, required
  • 10+ years of experience in data engineering, architecture, or platform leadership
  • At least 5 years of team management experience
  • Insurance or financial services experience required
  • Proven success leading large-scale data modernization programs in Azure or similar cloud ecosystems using Databricks or Snowflake
  • Hands-on experience with Databricks Lakehouse, PySpark, Delta Lake, and Unity Catalog
  • Strong background in data modeling, ETL/ELT frameworks, and data warehousing
  • Experience with compliance regulations and handling PHI/PII data
  • Exposure to AI/ML and data science workloads in Databricks or Snowflake
  • Experience with DevOps and automation frameworks, including Azure DevOps, Terraform, and GitHub Actions
  • Bachelor's degree in computer science, business/data analytics, management information systems, information technology, or related field; combination of education and/or relevant work experience may be accepted in lieu of degree

Demonstrates expertise in defining and executing enterprise data platform strategies, with a strong focus on Azure Data Services, Databricks Lakehouse, and data modernization. Proven ability to lead teams, manage budgets, and drive cloud-native engineering best practices while ensuring data availability and compliance.

Highest-signal resume keywords
  • Azure Data Services
  • Databricks Lakehouse
  • Data Engineering Leadership
  • ETL/ELT Optimization
  • Insurance Domain Experience
ATS Optimization KeywordsHard Skills
  • Data Modeling
  • PySpark
  • Delta Lake
  • Unity Catalog
  • CI/CD
  • DevOps
  • ETL Frameworks
  • Data Warehousing
  • Streaming Ingestion
  • Compliance Regulations
Soft Skills
  • Leadership
  • Communication
  • Team Management
  • Stakeholder Influence
  • Collaboration
Industry Keywords
  • DAMA/DMBOK
  • Data Modernization
  • PHI/PII Data
  • Financial Services
  • Insurance
Tools & Technologies
  • Azure Databricks
  • Azure SQL Server
  • Azure Data Factory
  • Azure Synapse
  • Event Hub
  • Azure DevOps
  • Terraform
  • GitHub Actions
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