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Data Modernization Jobs in Houston, PA (NOW HIRING)

Data Ideology

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production. * Build frameworks for real-time and ...

Data Ideology LLC

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production. * Build frameworks for real-time and ...

ivision

Microsoft Fabric Data Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

This role involves leading solution-delivery initiatives focused on modern data architectures and guiding clients through end-to-end data modernization while mentoring team members. Responsibilities ...

Fnbcorp

Data and Analytics Engineer 2

Pittsburgh, PA · On-site

$111K - $133K/yr

You will play a key role in driving data modernization initiatives and enabling scalable, future-ready data platforms. Position Title: Data and Analytics Engineer 2 Business Unit: Technology Reports ...

American Eagle Outfitters

Data Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

Drive modernization efforts by researching, evaluating, and implementing emerging technologies and tools across the data ecosystem. * Technical Mentorship: Serve as a technical mentor and guide to ...

American Eagle Outfitters, Inc.

Data Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

Drive modernization efforts by researching, evaluating, and implementing emerging technologies and tools across the data ecosystem. * Technical Mentorship: Serve as a technical mentor and guide to ...

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All JobsData Modernization JobsData Modernization Jobs in Houston, PA

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 job categories do people searching Data Modernization jobs in Houston, PA look for?

The top searched job categories for Data Modernization jobs in Houston, PA are:

What cities near Houston, PA are hiring for Data Modernization jobs?

Cities near Houston, PA with the most Data Modernization job openings:

Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Houston, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Cloud Data Architect

Data Ideology

Pittsburgh, PA • Remote

$65.25 - $84/hr

Contractor

Re-posted 16 days ago

Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com.
Cloud Data Architect
We are always looking to connect with top talent! We are seeking a skilled and collaborative Cloud Data Architect to help drive ongoing data modernization efforts. This role is responsible for designing and enabling modern cloud data platforms, integrating enterprise systems, and building semantic data models that support critical business functions across the organization. If you're passionate about cloud architecture, scalable data solutions, and helping organizations transform their data ecosystems, we'd love to connect with you.
Key Responsibilities

  • Own the architecture for cloud-native data platforms, including Lakehouse designs (Delta Lake, Iceberg, Databricks, or Microsoft Fabric) that support reporting, analytics, and BI.
  • Design scalable data models supporting enterprise platforms, including ERP, financial, operational, and project management systems.
  • Lead modernization initiatives for legacy data environments, including migration strategy, data mapping/transformation, reconciliation, and cutover to production.
  • Build frameworks for real-time and near real-time data ingestion and processing, alongside batch pipelines (ELT/ETL).
  • Drive decisions across storage, orchestration, data quality, reliability, and performance.
  • Define semantic data models that enable self-service analytics and consistent reporting, in coordination with data governance, metadata management, and master data management (MDM) standards.
  • Partner with business and technical stakeholders across functional areas to prioritize requirements and translate them into architectural decisions.
  • Support secure, governed data access in coordination with Identity and Access Management (IAM) teams.
  • Evaluate emerging technologies, including AI, and identify opportunities to apply them within the data ecosystem; help shape the long-term technical roadmap.
  • Mentor junior architects and data management staff, and translate complex technical concepts into clear, business-friendly language for technical and non-technical audiences alike.
Qualifications
  • 8+ years of experience in data architecture, data modeling, or cloud data engineering, with demonstrated ownership of architecture decisions.
  • Hands-on experience designing and implementing cloud data solutions using Snowflake, Azure, AWS, and/or Databricks.
  • Deep understanding of distributed systems, data architecture, and modern cloud infrastructure.
  • Experience with Lakehouse architecture and platforms (Delta Lake, Apache Iceberg, Apache Hudi).
  • Demonstrated success designing semantic data models for reporting and analytics at scale.
  • Experience leading or supporting large-scale data migrations, from discovery through cutover, and building systems from concept through production.
  • Experience supporting low-latency or high-volume data environments is highly desirable.
  • Strong grounding in modern data warehousing, ELT/ETL, and cloud architecture best practices.
  • Proven ability to navigate ambiguity, influence technical direction, and drive clarity across cross-functional teams, balancing strategic vision with hands-on execution.
  • Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications
  • Deep experience with data governance, metadata management, MDM, and data quality frameworks.
  • Familiarity with data catalog tools (e.g., Purview, Collibra, Alation).
  • Track record supporting enterprise data modernization, migration, or cloud transformation initiatives.
Work Environment: 
  • Remote work from home. 
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. 
Physical Demands: 
  • Must be able to remain in a stationary position 50% of the time. 
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. 
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. 
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. 

Data Ideology is an EEO Employer
 

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