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Data Privacy Jobs in Colorado (NOW HIRING)

Credera Experienced Hiring Job Board

Architect, Data

Denver, CO · On-site

$65.50 - $84.50/hr

You have a deep understanding of data governance and data privacy best practices * You incorporate the usage of AI tooling, efficiencies, and code assistance tooling in your everyday workflows * You ...

Carina Health Network

Clinical Data Engineer

Denver, CO · On-site

$85K - $100K/yr

Remain knowledgeable in healthcare data standards, measures, and code sets as well as applicable data privacy practices and legal requirements. What We're Looking For * Bachelor's degree in data ...

Carina Health Network

Clinical Data Engineer

Denver, CO · Remote

$85K - $100K/yr

Remain knowledgeable in healthcare data standards, measures, and code sets as well as applicable data privacy practices and legal requirements. What We're Looking For * Bachelor's degree in data ...

City of Aurora

Data Scientist Supervisor - Fire

Aurora, CO · On-site

$96K - $121K/yr

Knowledge of data privacy, security, and regulatory compliance requirements * Knowledge of performance measurement frameworks and key performance indicators (KPIs) in public safety or government ...

Carina Health Network

Clinical Data Engineer

Denver, CO · On-site

$85K - $100K/yr

Remain knowledgeable in healthcare data standards, measures, and code sets as well as applicable data privacy practices and legal requirements. What We're Looking For * Bachelor's degree in data ...

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All JobsData Privacy JobsData Privacy Jobs in Colorado

Data Privacy information

See Colorado salary details

$11

$53

$93

How much do data privacy jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data privacy in Colorado is $53.34, according to ZipRecruiter salary data. Most workers in this role earn between $37.79 and $68.34 per hour, depending on experience, location, and employer.

What is the difference between Data Privacy vs Data Security?

AspectData PrivacyData Security
FocusProtecting personal and sensitive information from misuse and ensuring compliance with privacy lawsSafeguarding data from unauthorized access, breaches, and cyber threats
CredentialsPrivacy certifications (e.g., CIPP, CIPM), knowledge of privacy lawsSecurity certifications (e.g., CISSP, CISM), technical security skills
Work EnvironmentLegal, compliance, and policy-driven roles within organizationsIT, cybersecurity teams, technical environments

Data Privacy focuses on protecting personal information and ensuring compliance with privacy regulations, while Data Security emphasizes technical measures to prevent unauthorized data access. Both roles are essential for comprehensive data protection but differ in their primary objectives and skill sets.

What is data privacy?

Data privacy refers to the protection of personal or sensitive information from unauthorized access, use, or disclosure. It involves implementing policies, procedures, and technologies to ensure that individuals’ data is collected, stored, and processed in compliance with relevant laws and regulations. Data privacy professionals help organizations mitigate risks, maintain customer trust, and avoid legal penalties by ensuring proper handling of data. This field is especially important in industries that handle large volumes of personal information, such as healthcare, finance, and technology.

What are some common challenges faced by professionals working in data privacy roles?

Professionals in data privacy roles often encounter challenges such as keeping up with rapidly changing regulations, ensuring organization-wide compliance, and balancing data protection with business needs. They frequently collaborate with IT, legal, and business teams to develop and implement privacy policies, manage data subject requests, and respond to potential data breaches. Staying informed about new technologies and emerging threats is also essential, making continuous learning a key part of the role.

What Are Data Privacy Jobs?

Data privacy jobs focus on helping a company manage and protect information. This has two primary focuses: company information and customer information. In these roles, you may study industry sources to evaluate potential risks, help ensure compliance with applicable laws and regulations, and determine the best response to any violation of these rules. Data privacy jobs often involve using encryption to manage and store sensitive information, determining when or if to share information with others, and creating company policies to help ensure employees do not inadvertently violate privacy protection laws. Some industries—most notably healthcare—have additional data privacy requirements that you may be responsible for enforcing.

What are the key skills and qualifications needed to thrive as a Data Privacy professional, and why are they important?

To thrive as a Data Privacy professional, you need strong knowledge of data protection laws (like GDPR and CCPA), risk assessment, and compliance best practices, often supported by a relevant degree or certifications such as CIPP or CIPM. Familiarity with privacy management tools, data classification systems, and legal research databases is typically required. Attention to detail, ethical judgment, and effective communication are key soft skills for managing sensitive information and educating stakeholders. These skills ensure organizations remain compliant, protect customer trust, and mitigate the risks of data breaches.
More about Data Privacy jobs
What are the most commonly searched types of Data Privacy jobs in Colorado? The most popular types of Data Privacy jobs in Colorado are:
What job categories do people searching Data Privacy jobs in Colorado look for? The top searched job categories for Data Privacy jobs in Colorado are:
What cities in Colorado are hiring for Data Privacy jobs? Cities in Colorado with the most Data Privacy job openings:
Data Privacy jobs near you

Senior Architect, Data

Credera Experienced Hiring Job Board

Denver, CO

$69.25 - $92.75/hr

Other

Posted 5 days ago

Job description

As a Senior Architect in Credera's Data capability group, you will lead teams in implementing modern data architecture, data engineering pipelines, and advanced analytical solutions. Our projects range from designing and implementing the latest data platform approaches (i.e. Lakehouse, DataOps, Data Mesh) using best practices and cloud solutions, building scalable data and ML pipelines, democratizing data through modern governance approaches, and delivering data products using advanced machine learning, visualization, and integration approaches.

You will act as the primary architect and technical lead on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements, serve as a technical expert in client communications, and mentor junior project team members. On a typical day, you might expect to participate in design sessions, build data structures for an enterprise data lake or statistical models for a machine learning algorithm, coach junior resources, and manage technical backlogs and release management tools. Additionally, you will seek out new business development opportunities at existing and new clients.

WHO YOU ARE:

  • You have a minimum of 8+ years of technical, hands-on experience building, optimizing, and implementing data pipelines and architecture
  • Experience leading teams to wrangle, explore, and analyze data to answer specific business questions and identify opportunities for improvement
  • You are a highly driven professional and enjoy serving in a fast-paced, dynamic client-facing role where delivering solutions to exceed high expectations is a measure of success
  • You have a passion for leading teams and providing both formal and informal mentorship
  • You have strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
  • You have a deep understanding of data governance and data privacy best practices
  • You incorporate the usage of AI tooling, efficiencies, and code assistance tooling in your everyday workflows
  • You have a degree in Computer Science, Computer Engineering, Engineering, Mathematics, Management Information Systems or a related field of study 
  • The ideal candidate will have recent technical knowledge of the following:
    • Programming languages (e.g. Python, Spark, Java, C++, Scala, etc.)
    • SQL and NoSQL databases (MySQL, DynamoDB, CosmosDB, Cassandra, MongoDB, etc.) 
    • Data pipeline and workflow management tools (Airflow, Dagster, AWS Step Functions, Azure Data Factory, etc.)
    • Stream-processing systems (e.g. Storm, Spark-Streaming, Pulsar, Flink, etc.)
    • Data Warehouse design (Databricks, Snowflake, Delta Lake, Lake formation, Iceberg)
    • MLOps platforms (Sagemaker, Azure ML, Vertex.ai, MLFlow) 
    • Container Orchestration (e.g. Kubernetes, Docker Swarm, etc.)
    • Metadata management tools (Collibra, Atlas, DataHub, etc.) 
  • Experience with the data platform components on one or more of the following cloud service providers:
    • AWS
    • Google Cloud Platform
    • Azure

Basic Qualifications

  • Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success
  • Contribute in a team-oriented environment
  • Prioritize multiple tasks in order to consistently meet deadlines
  • Creatively solve problems in an analytical environment
  • Adapt to new environments, people, technologies and processes
  • Excel in leadership, communication, and interpersonal skills
  • Establish strong work relationships with clients and team members
  • Generate ideas and understand different points of view 

Apply