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Remote Point Cloud Modeling Jobs in Texas (NOW HIRING)

This role could be remote within the United States or hybrid within one of our US Hub offices. Your ... necessary point cloud conversions for use in 3D model development. * Select piping components.

... remote sensing equipment (sUAS/drones, 3D laser scanning 3DLS) preferred but not required * Familiarity with AutoCAD, survey data processing software (Trimble Business Center), point cloud data ...

Summer Intern: Scan Engineer/Technician 1

Dallas, TX · On-site +1

$16.50 - $21.50/hr

... point cloud to match project origins. • Communicate problems encountered in both field and office ... BIM software for modeling and/or working with point clouds, or any equivalent combination of ...

Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP ... Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control ...

Cloud Networking Enterprise Account Manager - SLED This role has been designated as 'Remote ... We are seeking an Enterprise Account Manager to serve as the overall account lead and primary point ...

Cloud Networking Enterprise Account Manager - SLED This role has been designated as 'Remote ... We are seeking an Enterprise Account Manager to serve as the overall account lead and primary point ...

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Remote Point Cloud Modeling information

What is remote point cloud modeling?

Remote point cloud modeling involves creating 3D digital representations of objects or spaces using point cloud data, which is typically collected through laser scanners or photogrammetry. The 'remote' aspect means that the modeling work is performed from a location other than the site where the data was captured, often using specialized software to process and interpret the data. This technology is widely used in industries such as construction, architecture, surveying, and engineering for tasks like as-built documentation, measurement, and visualization. Remote point cloud modelers convert raw point cloud data into usable models, such as BIM or CAD files, that are valuable for planning, analysis, and project management.

What are some common challenges faced by professionals working in remote point cloud modeling, and how can they be addressed?

One common challenge in remote point cloud modeling is managing large data files, which can cause slow upload/download speeds and software lag. Ensuring a reliable internet connection and using cloud-based collaboration tools can help mitigate these issues. Additionally, clear communication with team members is crucial, as remote work can sometimes lead to misunderstandings about project specifications or deadlines. Regular virtual meetings and detailed documentation can help keep everyone aligned and projects on track.

What are the key skills and qualifications needed to thrive as a Remote Point Cloud Modeler, and why are they important?

To thrive as a Remote Point Cloud Modeler, you need expertise in 3D modeling, spatial data interpretation, and proficiency with point cloud processing, often supported by a degree in geomatics, engineering, or architecture. Familiarity with technical tools such as Autodesk ReCap, Bentley Pointools, and laser scanning equipment, as well as certifications in CAD or BIM, are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills ensure accurate digital representations, efficient project collaboration, and high-quality deliverables critical for industries like construction, surveying, and design.
Principal Cloud Data Architect (Microsoft Fabric and Azure)

Principal Cloud Data Architect (Microsoft Fabric and Azure)

Children's Health

Dallas, TX • Remote

Full-time

Medical

Posted 29 days ago


Children's Health rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

187th of 871 rated healthcare providers


Job description

Job Title & Specialty Area:Principal Cloud Data Architect (Microsoft Fabric and Azure)

Department: Advanced Analytics

Location: Dallas, TX

Shift: 8:00 am to 5:00 pm

Job Type: Remote

Why Children's Health?

At Children's Health, our mission is to Make Life Better for Children, and we recognize that their health plays a crucial role in achieving this goal.

Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being.

Our dedication to promoting children's health extends beyond our organization and encompasses the broader community. Together, we can make a significant difference in the lives of children and contribute to a brighter and healthier future for all.

Summary:
The Principal Cloud Solution Data Architect designs, develops, and implements scalable, secure, and high performance data solutions, integrating source systems, data stores, interfaces, and cloud infrastructure. This role involves analyzing business requirements, creating system-level data architectures, and leveraging cloud-native technologies to optimize performance, scalability, and maintainability. The architect ensures seamless integration of enterprise-wide data while designing solutions that align with cloud best practices, including containerization, microservices, and serverless architectures. As a technical leader, the architect collaborates with cross-functional teams enterprise-wide, troubleshoots reporting, products, and data issues, and guides development teams in full-stack and cloud-native development best practices. They research emerging technologies, create reusable frameworks, document technical designs, and ensure data systems are designed for efficient deployment and management in cloud environments. This role is critical and has ultimate oversight in delivering innovative, cloud-optimized data and artificial intelligence (AI) products aligned with business goals.

Responsibilities:
Technical Leadership:

  • Define and deliver high-level cloud medallion data architecture that empowers enterprise-wide analytics and AI solutions to address business objectives and balance scalability, performance, and security
  • Mentor and advise data professionals (engineers and analysts) within Enterprise Data Analytics, Information Services, and operational analytics teams, championing best practices in healthcare cloud data architecture, data and AI product development, standard operating procedures (SOPs), DevOps, and SDLC throughout the organization and enabling growth across teams
  • Translate architectural designs into actionable tasks for development teams
  • Evaluate, select, and implement emerging technologies (e.g., data mesh, GenAI data stack, lakehouse evolution) that meet the unique demands of Children's Health, with foresight for future scalability and interoperability
Collaboration and Communication:
  • Work with stakeholders, including product owners, business analysts, and project managers, to ensure technical solutions meet business and user needs.
  • Coordinate with cross-functional teams to ensure successful integration of data and components
System Design and Development:
  • Lead the design and integration data from source applications (e.g. electronic health records, enterprise resource planning, and other health information systems), leveraging API, ELT (extract, load, and transform), and cloud-based infrastructure
  • Make architecture decisions that align with long-term organizational goals and industry best practices, using systems performance and process modeling to establish a robust foundation
  • Leverage expertise in software engineering practices, back-end technologies, databases, data development/engineering, and artificial intelligence/machine learning engineering to build robust solutions
  • Ensure solutions align with industry best practices for user experience, security, integrity, patient privacy, regulatory compliance, and quality
Project Management:
  • Develop and communicate project estimates and work plans, ensuring tasks and deliverables adhere to schedules and budgets
  • Manage cross-functional teams and align project execution with organizational objectives
  • Align project goals with agile methodologies such as Scrum and Kanban
  • Communicate progress to stakeholders and adjust plans to meet evolving requirements
Documentation and Technical References:
  • Produce and maintain detailed documentation of design components, including technical designs, program specifications, and interim components
  • Produce and maintain comprehensive documentation of data architecture frameworks, policies, and procedures for transparency and accountability
  • Prepare operational manuals, technical references, security policies, and user training materials to support system deployment and maintenance
System Monitoring and Maintenance:
  • Oversee data, analytics, and AI operating environments across production, UAT, QA, and development systems or bronze, silver, and gold layers of cloud platform.
  • Perform regular system upgrades, patches, and performance-tuning enhancements to ensure optimal functionality and reliability
  • Monitor the performance of solutions within the cloud data platform and strategize optimization measures to consistently improve system or query performance, decrease processing time, reduce costs, and enhance overall productivity
Collaboration and Communication:
  • Collaborate with business and clinical stakeholders, directors, managers, analytics and data science teams, and informatics specialists to communicate data and AI architectural concepts and technical strategies
  • Build and maintain strong relationships with stakeholders by providing technical guidance and addressing concerns effectively
  • Lead the enterprise data architecture and innovation roadmap, aligned with Children's Health's business and technology strategy
  • Guide engineering, product, security, and compliance leaders to ensure data platform supports real-time analytics, ML/AI, and regulatory needs


How You'll Be Successful:

WORK EXPERIENCE

  • At least 10 years hands-on experience in data extraction, data architecture, data administration, data modeling, data management, BI, with heavy focus on data warehousing and ELT technologies

EDUCATION
  • Four-year Bachelor's degree or equivalent experience required
  • Graduate or professional work or advanced degree; or equivalent experience preferred

LICENSES AND CERTIFICATIONS
  • Data architecture certification (e.g. SnowPro, Advanced Architect, Microsoft Azure Data Architect, AWS, Certified Solutions Architect, Google Professional Data Engineer, or healthcare IT certifications) required within 180 Days of hire
  • Denodo preferred

A Place Where You Belong

We put our people first. We welcome, value, and respect the beliefs, identities and experiences of our patients and colleagues. We are committed to delivering culturally effective care, creating meaningful partnerships in the communities we serve, and equipping and developing our team members to make Children's Health a place where everyone can contribute.

Holistic Benefits - How We'll Care for You:

Employee portion of medical plan premiums are covered after 3 years.

4%-10% employee savings plan match based on tenure

Paid Parental Leave (up to 12 weeks)

Caregiver Leave

Adoption and surrogacy reimbursement

As an equal opportunity employer, Children's Health does not discriminate against employees or applicants because of race, color, religion, sex, gender identity and expression, sexual orientation, age, national origin, veteran or military status, disability, or genetic information or any other Federal or State legally-protected status or class. This applies to all aspects of the employer-employee relationship including but not limited to recruitment, hiring, promotion, transfer pay, training, discipline, workforce adjustments, termination, employee benefits, and any other employment-related activity.

Employment Type: FULL_TIME

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