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Data Modernization Jobs in Colorado (NOW HIRING)

Absolute Business Solutions Corp.

Data Engineer

Aurora, CO · On-site

$150K - $185K/yr

... Data Modernization Services. You'll be working across all major cloud providers to build cost-efficient, production-ready systems that power advanced analytics and AI initiatives. This role is an on ...

CSS, Inc

Water Level Data Manager

Boulder, CO · Hybrid

... modernization-including Open Information Stewardship Service (OISS) workflows and cloud-native ... Responsibilities 1. Data Ingest and Archiving * Manage the end-to-end intake pipelines for raw ...

CSS, Inc

Water Level Data Manager

Boulder, CO · On-site

$60K - $70K/yr

... modernization-including Open Information Stewardship Service (OISS) workflows and cloud-native ... Responsibilities 1. Data Ingest and Archiving * Manage the end-to-end intake pipelines for raw ...

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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 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:

What cities in Colorado are hiring for Data Modernization jobs?

Cities in Colorado with the most Data Modernization job openings:

Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sr Data Architect - Snowflake

Spruce Infotech

Denver, CO • On-site

Contractor

This job post has expired 3 days ago. Applications are no longer accepted.

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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