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Data Engineer Architect Jobs in Iowa (NOW HIRING)

Accenture

Senior Data Scientist

Des Moines, IA · On-site

Partner with business, product, data, engineering, architecture, cybersecurity, legal, privacy, risk, compliance, and operations teams to identify, assess, and prioritize high-value AI opportunities.

New

ark data centers

Solutions Architect, Cloud

Cedar Rapids, IA · On-site

$62.25 - $85.25/hr

You operate as a dotted-line partner to Ark's cloud engineering, platform, and product teams. You ... Please note this role is hybrid remote and located in one of Ark Data Centers states. Requirements:

Corteva

Sr Principal Software Architect

Johnston, IA · Remote

Identify friction points experienced by data engineers, data scientists, and analysts, and ... Strong understanding of platform architecture and patterns that support data mesh or domain ...

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All JobsData Engineer Architect JobsData Engineer Architect Jobs in Iowa

Data Engineer Architect information

See Iowa salary details

$43.2K

$155K

$228.7K

How much do data engineer architect jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer architect in Iowa is $154,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,400.00 and $159,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data engineer architect, and why are they important?

To thrive as a Data Engineer Architect, you need expertise in data modeling, ETL processes, big data platforms, and a strong background in computer science or a related field. Proficiency with tools and systems such as Hadoop, Spark, SQL/NoSQL databases, and cloud platforms like AWS or Azure, along with relevant certifications, is highly valued. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These capabilities are crucial for designing scalable, reliable data architectures that support business analytics and decision-making.

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

AspectData Engineer ArchitectData Engineer
CredentialsBachelor's/Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, certifications like AWS, GCP, or Azure
Work EnvironmentDesigns data infrastructure, collaborates with architects and stakeholdersBuilds and maintains data pipelines, works with data storage and processing
Employer & Industry UsageUsed in organizations with complex data architecture needsCommon across industries for data processing tasks

The main difference is that Data Engineer Architects focus on designing and planning the overall data infrastructure, while Data Engineers implement and maintain the pipelines and systems. Architects have a broader strategic role, whereas Engineers focus on execution and operational tasks.

How does a data engineer architect typically collaborate with data scientists and business analysts on large-scale projects?

A Data Engineer Architect plays a pivotal role in facilitating collaboration between data scientists, business analysts, and other stakeholders by designing robust data pipelines and scalable architectures that ensure reliable, timely access to data. They often gather requirements, translate business needs into technical solutions, and oversee the integration of diverse data sources. Regular communication and joint planning sessions help align the data infrastructure with analytical goals, making teamwork and cross-functional coordination essential aspects of the role. This collaborative environment fosters innovative problem-solving and ensures that the data architecture supports both immediate project needs and long-term business objectives.

What is a data engineer architect?

A Data Engineer Architect is a professional responsible for designing, building, and maintaining the architecture that allows organizations to collect, store, process, and analyze large volumes of data. They create scalable and reliable data pipelines, choose appropriate technologies, and ensure that data systems meet business requirements for performance and security. Data Engineer Architects often collaborate with data scientists, analysts, and other engineers to optimize data workflows and support decision-making processes. Their expertise is crucial for organizations looking to leverage big data and advanced analytics.
Data Engineer Architect jobs near you

Data Engineer- Analytics

BITCO Insurance Companies

Davenport, IA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Old Republic Bitco is seeking a Data Engineer - Analytics to join our Home Office located in Davenport, IA. As a respected specialty insurer with 11 branch offices across 10 states, OR Bitco delivers tailored insurance solutions to complex industries such as construction, forest products, and oil and gas.
This position is open to hybrid work arrangement, blending flexibility with meaningful in-person collaboration.
At OR Bitco, our work is guided by core values. We care deeply about our people, partners, and customers. We are committed to excellence and accountability. We deliver on our promises with integrity and precision, and we strive to make a meaningful impact in everything we do. These values drive our mission to protect the people and industries that keep America running.
Join the OR Bitco team and be part of a workplace built on collaboration, open communication, and a positive culture that supports growth and success. If you are passionate about operational excellence and ready to make a measurable impact within a growing, industry-leading organization, OR Bitco offers the platform and challenge you have been seeking.
Position Summary:
In this role, you'll play a key role in building and maturing the Company's Data Services across all aspects of the organization. This includes recommending and implementing tools for enabling internal business units to leverage data securely, effectively, and efficiently.
You'll develop high-level data analysis, participating in all stages of development from analysis to production releases, delivering data-driven insights to internal business customers. This is a highly collaborative role focusing on Data Services customer needs through data storytelling and insights while modernizing the analytics role for OR Bitco in a cloud-based environment.
You will be involved in all aspects of data science, engineering, and analytics as the Company instills and matures these capabilities and data discipline throughout the organization.
Primary Responsibilities:
  • Collaborate with Project Managers, Business Leaders, Analysts, and other stakeholders to understand the analysis required in order to form data requirements and develop solutions that meet those needs while accommodating scalable volumes of data
  • Participate in strategic data and analytics projects to enable our business leaders to consume data in a curated self-service model that leads to impactful insights for key business areas
  • Integrate and deliver data-driven insights and analysis from multiple sources for internal customers to make decisions relevant to their functional area or across product, program, customer, and risk axis
  • Develop analysis frameworks to enable agile and quick data insights, while maintaining the quality of the insight, and inform strategy
  • Partner across all operational and support functions to build scalable data-based solutions that provide insights into improving key metrics/OKRs
  • Work with business leaders to understand market drivers, OKRs, and products to interpret data and make them comprehensible to understand for other teams
  • Experience with trend analysis and reviews, drafting executive outlines, and recommending strategic changes based on data insights to non-technical leadership teams
  • Understanding and Experience in Statistical Modeling, Natural Language Processing, GenAI, AIML modeling
  • Implement automated data quality checks and validation processes to ensure data integrity and accuracy at scale
  • Design, build, and maintain robust reporting packages from multiple sources through our data warehouse and analytics marts, ensuring scalability and efficiency
  • Ensure the reliability, availability, and scalability of our reporting and analysis system performance and optimize as needed to handle increasing data volumes
  • Ensure data integrity, accuracy, and reliability across multiple environments (warehouse, data marts, reporting)
  • Utilize Power BI to create insightful reports, dashboards, and visualizations to provide actionable insights to stakeholders
  • Troubleshoot data-related issues, identify root causes, and implement solutions in a timely manner to minimize business impact
  • Create and maintain design documents and documentation for reporting pipelines, semantic models, and processes Stay current with emerging technologies and trends in reporting and data analysis, recommending and implementing improvements as necessary to support scalability and growth
  • Work closely with various business units and leaders to identify and interpret their data needs, suggesting innovative ways to consume and analyze data
  • Create reusable templates, such as Power BI semantic models, to empower other data services and IT personnel in their reporting efforts
  • All other functions and duties as assigned

Qualifications:
  • Legally authorized to work in the United States
  • 3+ years of proven experience as a Data Analyst or similar reporting role, with a strong background in data analysis, reporting and statistics
  • Proven work experience with a focus on data storytelling, report development and in-depth data analysis
  • Solid understanding of data reporting models and communication
  • Proficiency in Power BI or similar reporting tools, SQL, and experience working with relational databases
  • Familiarity with data warehousing concepts and tools, such as Snowflake or Microsoft Synapse
  • Experience with data modeling, semantic model design, and optimization techniques for scalability
  • Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment
  • Self-motivated and proactive, with a passion for continuous learning and professional development

Benefits:
  • Competitive salary paired with a comprehensive benefits package
  • Generous paid time off, plus 12 paid holidays annually
  • Comprehensive health coverage, including medical, dental, and vision plans
  • Additional protection through accident, critical illness, and hospital indemnity insurance
  • Company-paid life insurance equal to 2× annual salary
  • Company-paid short-term and long-term disability coverage
  • 401(k) Savings and Profit-Sharing Plan through Old Republic
  • Ongoing education, training, and professional development opportunities
  • Support for industry certifications and insurance designations, including financial assistance
  • Opportunities to give back through corporate philanthropy and community service initiatives
  • Optional benefits including travel, commuter, and pet insurance
  • Employee wellness support through a dedicated fitness program

Apply