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Data Architect Job Opening In Des Moines – Now Hiring Zapcom


Job description

Lead the assessment and redesign of our enterprise data architecture.

Deliver a current-state review and future-state design in the first 8 weeks.

Balance immediate reporting needs with long-term modernization by designing an interim architecture.

Establish an Azure-first data platform covering ingestion, storage, governance, analytics, and AI/ML workloads.

Work with business leaders to translate initiatives into project charters, ensuring quick wins as well as longer-term priorities.

Build and maintain a roadmap that phases delivery of quick wins, foundational capabilities, and advanced use cases.

Drive data governance and quality practices into day-to-day operations.

Collaborate with technical and business teams to turn data into measurable business value.

First 68 Weeks: Assessment & Design Complete a review of current data architecture including sources, pipelines, reporting, and governance.

Define the target-state architecture including data lakehouse and governance design.

Develop an interim-state architecture to support ongoing reporting and analytics.

Translate business requests into clear project charters, focusing on quick wins.

Deliver a roadmap with phased delivery of near-term wins and longer-term capabilities.

824 Weeks: Operationalization & Quick Wins Stand up core Azure platform components (Data Factory, ADLS Gen2, Databricks, Synapse, metadata catalog).

Roll out governance processes including data cataloging, stewardship roles, and quality measures.

Deliver short-term business solutions using interim reporting and data marts.

Turn chartered business initiatives into projects with clear outcomes.

Pilot leapfrog initiatives such as real-time analytics, AI/ML model pipelines, or self-service analytics.

612 Months: Scale & Transition Expand the enterprise data lakehouse with additional curated domains.

Shift the majority of reporting and analytics from interim to target-state architecture.

Operationalize AI/ML pipelines at scale with continuous training and deployment.

Show clear improvement in data quality, governance compliance, and speed of insight.

Requirements Strong background in enterprise data architecture, including data lakehouse design.

Hands-on knowledge of the Azure ecosystem: Data Factory, Event Hubs, ADLS Gen2, Data bricks, Synapse Analytics, Purview, Cosmos DB, Power BI, Azure ML.

Ability to translate business needs into technical solutions and formal project charters.

Experience balancing short-term requirements with future-state modernization.

Knowledge of data governance frameworks (e.g., DAMA, DCAM), metadata management, and stewardship practices.

Excellent stakeholder management and communication skills; able to bridge executives, business teams, and engineers.

Experience leading and mentoring data engineers and analysts.

8+ years of experience in data architecture/engineering with at least 3 years working on Azure platforms.

Preferred: Microsoft Azure certifications (Data Engineer Associate, Solutions Architect Expert).

Success Measures First 6-8 Weeks Current-state assessment and target-state design complete.

Interim architecture to support critical reporting.

Business initiatives translated into project charters.

Roadmap published.

824 Weeks Foundational Azure data platform operational.

Governance processes launched.

Quick-win projects delivered.

Leapfrog pilots underway.

612 Months Lakehouse expanded with curated domains.

Majority of reporting transitioned to target-state.

AI/ML pipelines in production.

Noticeable improvements in data quality and time-to-insight.

10
Strong background in enterprise data architecture, including data lakehouse design.

Hands-on knowledge of the Azure ecosystem: Data Factory, Event Hubs, ADLS Gen2, Data bricks, Synapse Analytics, Purview, Cosmos DB, Power BI, Azure ML.

Ability to translate business needs into technical solutions and formal project charters.

Experience balancing short-term requirements with future-state modernization.

Knowledge of data governance frameworks (e.g., DAMA, DCAM), metadata management, and stewardship practices.

Excellent stakeholder management and communication skills; able to bridge executives, business teams, and engineers.

Experience leading and mentoring data engineers and analysts.

8+ years of experience in data architecture/engineering with at least 3 years working on Azure platforms.

Preferred: Microsoft Azure certifications (Data Engineer Associate, Solutions Architect Expert).

Success Measures First 6-8 Weeks Current-state assessment and target-state design complete.

Interim architecture to support critical reporting.

Business initiatives translated into project charters.

Roadmap published.

8–24 Weeks Foundational Azure data platform operational.

Governance processes launched.

Quick-win projects delivered.

Leapfrog pilots underway.

6–12 Months Lakehouse expanded with curated domains.

Majority of reporting transitioned to target-state.

AI/ML pipelines in production.

Noticeable improvements in data quality and time-to-insight.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Architect Potential: Insight & Career Growth Guide


Real-time Data Architect Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Architect in Des Moines, United States, highlighting market share and opportunities for professionals in Data Architect roles.

67235 Jobs in United States
67235
610 Jobs in Des Moines
610
Download Data Architect Jobs Trends in Des Moines and United States

Are You Looking for Data Architect Job?

Great news! is currently hiring and seeking a Data Architect to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Zapcom adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Data Architect Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Des Moines. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Architect?

Key qualifications for Data Architect typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Architect?

To improve your chances of getting hired for Data Architect, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Architect Job Success

Zapcom interview tips for Data Architect

Here are some tips to help you prepare for and ace your Data Architect job interview:

Before the Interview:

Research: Learn about the Zapcom's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Architect interview at Zapcom, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Zapcom's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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