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Data Migration Jobs in Colorado (NOW HIRING)

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

Lead data migration and modernization initiatives across relational and NoSQL systems. * Define scalable migration patterns including dual-write validation, reconciliation strategies, and zero ...

KORE1 Technologies

Head of Data Platform

Denver, CO · On-site

$160K - $195K/yr

Lead data migration and modernization initiatives across relational and NoSQL systems. * Define scalable migration patterns including dual-write validation, reconciliation strategies, and zero ...

Deloitte

Manager, SAP Data Conversion/BODS

Denver, CO · On-site

Partnering with integration and data teams to plan interfaces, validate data migration readiness, and support integrated testing, defect resolution, and deployment execution. * Supporting clients in ...

CSS, Inc

Water Level Data Manager

Boulder, CO · On-site

$62K - $70K/yr

Collaborate with the Data Migration Team to develop and refine operational data workflows within the Open Information Stewardship Service (OISS) framework. * Support the "lift-and-shift" transition ...

CSS, Inc

Water Level Data Manager

Boulder, CO · Hybrid

Collaborate with the Data Migration Team to develop and refine operational data workflows within the Open Information Stewardship Service (OISS) framework. * Support the "lift-and-shift" transition ...

CSS, Inc

Water Level Data Manager

Boulder, CO · On-site

$62K - $70K/yr

Collaborate with the Data Migration Team to develop and refine operational data workflows within the Open Information Stewardship Service (OISS) framework. * Support the "lift-and-shift" transition ...

CPMC LLC

Database Architect - Senior

Lakewood, CO · On-site

$67.25 - $90/hr

Advise on data migration and modernization efforts. Skills & Qualifications: * Strong database design and modeling expertise. * Experience with data security and integrity controls. * Proficiency ...

CPMC LLC

Database Architect - Senior

Lakewood, CO · On-site

$67.25 - $90/hr

Advise on data migration and modernization efforts. Skills & Qualifications: * Strong database design and modeling expertise. * Experience with data security and integrity controls. * Proficiency ...

nLeague

Data Analyst

Denver, CO · On-site

IMS is seeking a mid-level Informatica ETL Developer / Administrator to support the migration of ETL workflows from Informatica PowerCenter to Informatica Intelligent Data Management Cloud (IDMC)

A2Z Sync

Head of Data Platform

Englewood, CO · On-site +1

$63 - $81/hr

Data migration strategy for the legacy platform - defining which tables move to DynamoDB, which consolidate into Aurora Serverless, and how dual-write validation works at every stage. * Data quality ...

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How much do data migration jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for data migration in Colorado is $40.22, according to ZipRecruiter salary data. Most workers in this role earn between $28.29 and $48.20 per hour, depending on experience, location, and employer.

What does a data migration do?

A data migration involves transferring data from one system, storage, or format to another, often during system upgrades or consolidations. Data migration specialists plan, execute, and verify the process to ensure data integrity and minimal downtime, frequently using tools like ETL software. The role requires attention to detail and knowledge of databases and data management best practices.

How to become a data migration specialist?

To become a data migration specialist, you typically need a strong background in database management, data analysis, and familiarity with data migration tools such as SQL, ETL processes, and cloud platforms. Earning relevant certifications like Microsoft Certified: Data Analyst Associate or AWS Certified Data Analytics can enhance your qualifications. Gaining experience through internships or entry-level roles in data management is also valuable.

What are the key skills and qualifications needed to thrive in the Data Migration position, and why are they important?

To thrive in Data Migration, you need strong expertise in database management, data mapping, and ETL (Extract, Transform, Load) processes, often backed by a degree in computer science or a related field. Familiarity with tools like SQL, Microsoft SQL Server, Oracle, Informatica, or similar platforms, as well as certifications in data management or cloud technologies, is highly valued. Excellent problem-solving skills, attention to detail, and clear communication are key soft skills for success in this role. These capabilities are critical to ensuring data integrity, minimizing downtime, and facilitating smooth transitions during system upgrades or technology changes.

What are the typical challenges faced by Data Migration professionals, and how can they be addressed?

Data Migration professionals often encounter challenges like data inconsistencies, legacy system incompatibility, and unanticipated downtime during migration projects. Careful planning, thorough testing, and strong documentation are essential to mitigate these risks. Working collaboratively with IT, business analysts, and end users helps anticipate potential issues and ensures all data requirements are met. A proactive approach to troubleshooting and continuous communication with stakeholders helps achieve successful, error-free migrations. As a Data Migration expert, you'll frequently navigate these situations to deliver smooth transitions for organizations undergoing digital transformation.

What are data migration jobs?

Data migration jobs involve transferring data from one system, format, or storage environment to another, often requiring knowledge of databases, data structures, and migration tools. These roles typically require technical skills in SQL, scripting, and data validation to ensure accurate and secure data transfer during system upgrades or consolidations.

What are the career opportunities in data migration?

Data migration offers career opportunities such as data migration specialist, data analyst, database administrator, and data engineer. These roles typically require knowledge of database management, data transformation tools, and scripting languages like SQL or Python, with certifications in database systems often beneficial.

What is a Data Migration job?

A Data Migration job involves transferring data from one system, format, or storage location to another while ensuring its integrity, accuracy, and security. This process is common during system upgrades, cloud migrations, or database consolidations. Data migration specialists analyze source and target systems, map data fields, and implement validation procedures to prevent data loss or corruption. They may also clean and transform data to meet new system requirements. Effective data migration ensures minimal downtime and seamless transition for businesses.

What are the most commonly searched types of Data Migration jobs in Colorado? The most popular types of Data Migration jobs in Colorado are:
What are popular job titles related to Data Migration jobs in Colorado? For Data Migration jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Migration jobs in Colorado look for? The top searched job categories for Data Migration jobs in Colorado are:
What cities in Colorado are hiring for Data Migration jobs? Cities in Colorado with the most Data Migration job openings:
Data Migration jobs near you
Head of Data Platform

Head of Data Platform

KORE1 Technologies

Denver, CO • Remote

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 hours ago

Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Head of Data Platform that is fully remote. 

Why This Role Exists
We operate a large-scale, multi-tenant SaaS platform supporting thousands of enterprise customers nationwide. Our data ecosystem - spanning relational databases, NoSQL systems, streaming events, and cloud-based data lakes - powers complex transactional workflows, integrations, analytics, and operational decision-making at scale.

As the platform evolves, we are building intelligent, closed-loop optimization systems capable of observing operational signals, predicting outcomes, automating decisions, and continuously learning from results. These systems rely on scalable feature engineering, real-time data pipelines, model infrastructure, telemetry, and strong governance controls.

This role will own the foundational data architecture that enables those capabilities. You will lead the design of the data platform, feature infrastructure, governance framework, and real-time data systems that transform a transactional SaaS platform into an intelligent decision engine.
This is a highly hands-on leadership role focused on modern data architecture, AI/ML infrastructure, streaming systems, governance, and scalable platform engineering.
Scope & Scale
  • Large-scale multi-tenant SaaS environment supporting thousands of enterprise customers
  • High-volume transactional and operational data workloads
  • Complex third-party integrations spanning multiple data formats and protocols
  • Real-time streaming systems and event-driven architectures
  • Multiple optimization and intelligent automation initiatives requiring scalable feature engineering and telemetry systems
What You Will OwnData Platform Architecture
  • Design and own the end-to-end data platform architecture including raw ingestion, canonical entity modeling, analytics layers, feature infrastructure, and telemetry systems.
  • Build scalable frameworks for feature engineering, data quality, lineage, governance, and operational reliability.
  • Define patterns for tenant isolation, auditability, retention policies, and secure data access at scale.
Feature Store & AI Data Infrastructure
  • Lead the design and operation of online and offline feature infrastructure supporting real-time scoring and model training workflows.
  • Establish standards for feature ownership, freshness SLAs, training/inference parity, metadata governance, and lifecycle management.
  • Build scalable pipelines supporting ML models, intelligent automation workflows, and AI-enabled platform capabilities.
Streaming & Event-Driven Systems
  • Design and operate real-time streaming pipelines, event-driven data propagation, and change-data-capture systems.
  • Support low-latency feature materialization and telemetry processing across distributed services.
  • Ensure scalability, observability, and reliability across streaming infrastructure.
Data Governance & Quality
  • Establish enterprise-grade governance frameworks covering PII handling, tenant isolation, retention policies, audit logging, and cost attribution.
  • Implement automated monitoring for schema drift, stale pipelines, null spikes, feature skew, and data inconsistencies.
  • Own data quality standards and operational accountability across the platform.
Platform Modernization & Migration Strategy
  • Lead data migration and modernization initiatives across relational and NoSQL systems.
  • Define scalable migration patterns including dual-write validation, reconciliation strategies, and zero-downtime cutovers.
  • Partner with Engineering, Infrastructure, Product, and AI teams to align platform evolution with business goals.
Technical Leadership
  • Mentor engineers and data practitioners across multiple teams.
  • Drive architecture reviews, data modeling standards, and platform engineering best practices.
  • Establish scalable operating mechanisms and technical governance processes.
Technical EnvironmentData Platforms & Storage
  • Relational and NoSQL systems including Aurora/MySQL/PostgreSQL, DynamoDB, S3 data lakes, and distributed storage architectures
  • Modern lakehouse and analytical storage patterns
Streaming & Event Systems
  • Event-driven architectures, streaming pipelines, CDC frameworks, and real-time feature propagation systems
AI & ML Infrastructure
  • Feature stores, model training pipelines, model lifecycle infrastructure, and AI-enabled workflow systems
  • Production AI/ML deployment and observability frameworks
Data Engineering & Analytics
  • ETL/ELT orchestration platforms
  • Distributed analytics environments and BI tooling
  • Metadata cataloging, governance, and observability systems
Infrastructure & DevOps
  • AWS cloud infrastructure, infrastructure-as-code, CI/CD, monitoring, and operational tooling
Hands-On Expectations
This is not a purely strategic leadership role. The expectation is a strong balance of:
  • hands-on engineering and SQL/data work
  • architecture and systems design
  • technical mentorship and cross-functional leadership
You should be comfortable operating both as a high-level architect and as a deeply technical contributor on critical systems and pipelines.
First 12 MonthsMonths 1-3
  • Evaluate the existing data landscape, integrations, pipelines, and governance gaps
  • Define canonical entity models and future-state data architecture standards
  • Publish initial architecture recommendations and modernization priorities
Months 4-6
  • Establish foundational feature infrastructure and governance frameworks
  • Deliver initial modernization and migration initiatives
  • Implement automated monitoring and data quality controls
Months 7-9
  • Support production deployment of optimization and intelligent automation workflows
  • Operationalize feature lifecycle management, telemetry systems, and model infrastructure
  • Expand streaming and event-driven capabilities across the platform
Months 10-12
  • Deliver additional production-scale optimization and AI-enabled data capabilities
  • Mature governance, observability, and platform reliability standards
  • Define long-term roadmap for data platform scalability and intelligent systems evolution
RequirementsRequired Qualifications
  • 7+ years of experience in data engineering, platform engineering, or data architecture roles
  • Experience operating at a senior architect, principal, or platform leadership level
  • Deep expertise in both relational and NoSQL data modeling and distributed data systems
  • Strong experience building scalable feature infrastructure and real-time data platforms
  • Hands-on experience with cloud-native AWS data and analytics services
  • Experience supporting AI/ML workflows, feature engineering, or production AI systems
  • Strong understanding of event-driven architectures, CDC, and streaming data systems
  • Experience with large-scale multi-tenant platform architectures and governance challenges
  • Strong data governance instincts around security, auditability, PII handling, and operational accountability
  • Ability to balance architecture leadership with hands-on implementation work
Strongly Preferred
  • Experience supporting AI/ML lifecycle infrastructure including feature stores, model registries, monitoring, and production deployment workflows
  • Experience with LLM-related infrastructure, embeddings pipelines, retrieval systems, or intelligent automation workflows
  • Experience building closed-loop analytics or optimization systems with telemetry and outcome tracking
  • Strong experience with data quality monitoring and anomaly detection at scale
  • Familiarity with lakehouse architectures, open table formats, and large-scale analytical systems
Nice to Have
  • Experience in SaaS, fintech, automotive, marketplace, or transaction-heavy industries
  • Familiarity with complex third-party integrations and heterogeneous data sources
  • Experience with vector databases or semantic retrieval systems
  • Exposure to optimization, recommendation, scheduling, or operational intelligence systems
Benefits & Culture
We are a fast-paced and collaborative technology organization focused on building scalable platforms that improve operational efficiency, intelligent automation, and customer outcomes.
We offer:
  • Comprehensive medical, dental, and vision coverage
  • Employer-sponsored disability and life insurance
  • 401(k) with company match
  • Generous paid time off and company holidays
  • High-impact ownership over foundational AI and data platform initiatives
  • Opportunity to shape next-generation intelligent systems at scale




Compensation depends on experience but is typically 160k-195k

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Education:Employment Type: CONTRACTOR

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