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Data Modernization Jobs in Colorado (NOW HIRING)

Accenture

Google Data Specialist

Denver, CO · On-site

$70K - $196K/yr

The Work (What You Will Do) As a GCP Data Specialist, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

OTSI

Engineering Technician 4 Lead

Longmont, CO · On-site

$43K - $56K/yr

Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) Digital Transformation (Cloud Computing, Mobility, Micro Services, RPA, DevOps ...

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

Platform Modernization & Migration Strategy * Lead data migration and modernization initiatives across relational and NoSQL systems. * Define scalable migration patterns including dual-write ...

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All JobsData Modernization JobsData Modernization Jobs in Colorado

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 Colorado? For Data Modernization jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Colorado look for? The top searched job categories for Data Modernization jobs in Colorado are:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Sr Data Architect - Snowflake

Sr Data Architect - Snowflake

Spruce Infotech

Denver, CO • On-site

Contractor

Posted 20 days ago

Job description

• Lead design of Snowflake-based cloud data platforms and enterprise data modernization
• Build scalable ELT pipelines using dbt / Airflow.
• Migrate legacy pipelines to governed dbt frameworks improving efficiency & cost
• knowledge on data models (Kimball)
• Manage workflow orchestration (Airflow/Astronomer) with SLA monitoring
• Establish CI/CD pipelines (GitHub Actions) for reliable deployments
• dbt, ETL/ELT pipeline development
• Snowflake, AWS/Azure Data Lake
• Python, SQL, PySpark, Spark
• Airflow / workflow orchestration
• CI/CD (GitHub Actions)
• AI/ML & GenAI (LLMs, Snowflake Cortex AI, LangChain)
• Kafka / streaming pipelines
• Hadoop, Hive ecosystem
• Tableau, Power BI, Qlik
• Data security (RBAC, masking)
Fashion /Footwear/ Apparel/ Retail / CPG, Consumer Goods, Manufacturing

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