What Is Technical Data Jobs in Usa

Job Description

Must Have Technical/Functional Skills

• Extensive experience with cloud platforms (AWS, Azure, GCP) and hybrid environments.

• Deep knowledge of data center technologies, including networking, storage, virtualization, and server infrastructure.

• Hands-on experience with automation tools, orchestration, and monitoring solutions.

• Strong understanding of security, compliance, and disaster recovery frameworks.

• Deep knowledge of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and hybrid cloud architectures.

• Strong understanding of data center technologies: networking, storage, virtualization, compute, and server infrastructure.

• Hands-on experience with cloud migration, integration, and hybrid cloud strategies.

• Expertise in disaster recovery, high availability, and business continuity planning.

• Proven experience in leading technical teams and mentoring engineers.

• Ability to define, implement, and execute infrastructure strategies aligned with business goals.

• Capability to influence and guide senior stakeholders on technical decisions.

• Experience managing large-scale data center operations and cloud infrastructure.

• Knowledge of ITIL, operational best practices, and incident/problem management.

• Awareness of compliance, regulatory, and security standards (ISO, SOC, GDPR).

• Excellent verbal and written communication skills to interact with technical and non-technical stakeholders.

• Strong collaboration skills for working with cross-functional teams including architects, project managers, and vendors.

Good to Have

• Experience with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation).

• Scripting skills in Python, PowerShell, or Bash for automating operational tasks.

• Exposure to AI/ML workloads in cloud environments.

• Familiarity with edge computing or hyperconverged infrastructure solutions.

• Experience in managing large-scale infrastructure projects, including budgeting and resource planning.

• Knowledge of Agile/DevOps methodologies applied to infrastructure teams.

Roles & Responsibilities

• Highly experienced professional with over 10 years in leadership roles, specializing as a Subject Matter Expert (SME) in Cloud and Data Centre technologies. The role is responsible for defining and overseeing cloud infrastructure strategies,

managing data center operations, and providing expert technical guidance to ensure optimized, scalable, and secure solutions. This individual will act as the technical authority, driving innovation, operational excellence, and strategic alignment across cloud and data center initiatives.

• Define and implement cloud and data center strategies aligned with organizational goals.

• Drive innovation in infrastructure design, deployment, and operational efficiency.

• Evaluate emerging cloud technologies and recommend adoption strategies.

• Serve as the Subject Matter Expert for cloud platforms (AWS, Azure, GCP, or private cloud) and on-premises data center technologies

• Provide technical guidance to teams on architecture, deployment, and operational best practices.

• Lead complex troubleshooting, performance tuning, and capacity planning initiatives.

• Oversee day-to-day operations of data centers, including monitoring, maintenance, and incident management.

• Ensure high availability, disaster recovery, and business continuity plans are robust and tested..

• Manage vendor relationships and service contracts for critical infrastructure components.

Sr Data & BI Engineer (Hybrid)

We're partnering with a growing organization seeking a SQL-focused Data & BI Engineer to build and optimize data pipelines, support ETL processes, and drive reporting infrastructure. This role sits at the intersection of data engineering and business intelligence, with strong visibility across teams and leadership.

What You'll Do

• Design, build, and maintain SQL-based data pipelines and transformations
• Develop and optimize ETL processes to support reporting and analytics
• Write performant SQL for data modeling, transformation, and downstream consumption
• Support and enhance reporting infrastructure (SSRS → Power BI migration)
• Partner with business and technical teams to deliver scalable data solutions
• Improve data quality, structure, and accessibility across systems
• Contribute to performance tuning and optimization of data workflows

What You Bring

• Strong SQL skills with experience in data transformation and pipeline development
• Experience with ETL tools or frameworks (SSIS or similar)
• Exposure to BI tools such as Power BI or SSRS
• Experience working with structured data models in a production environment
• Ability to operate across both data engineering and reporting use cases

Environment

• Hybrid: 3 days onsite
• Evolving data environment with active investment in modernization
• Transitioning reporting stack from SSRS to Power BI
• Collaborative team with dedicated DBA support

Compensation

$120K – $140K base + bonus potential and good benefits

Must be local to TX

Skills:

Delivery manager

2026 road map

To deliver roadmap, interact with business, explain value prop, understand their rules, standard rules

Manage timelines

Partner with segments

Before and after Data Quality scores

Technical

Articulate technical design and solutions

Capabilities of Collibra, Soda

How to use those tools

Proactive communication skills

12+ years kind of role Technical Project Manager with solutioning and problem skills

Role Summary

The Data Governance Lead will design, build, and scale an enterprise data governance program from the ground up, using Collibra as the core platform for a large real estate enterprise. This senior role combines strategic leadership, hands‐on Collibra configuration, stakeholder management, and deep domain knowledge of real estate data. The incumbent will own the governance vision, operating model, and tooling, and will partner with business, IT, data engineering, analytics, legal, and compliance teams.

Key Responsibilities

1. Data Governance Strategy and Operating Model

• Define and implement the enterprise data governance strategy, roadmap, and operating model aligned to business objectives.
• Define governance KPIs, maturity metrics, and success measures.
• Drive adoption through change management, communications, and training.

2. Collibra Implementation from Scratch

• Lead end‐to‐end Collibra implementation: platform setup, environment planning (Dev/Test/Prod), domain modeling, and taxonomy design.
• Customize asset models for real estate use cases.
• Configure and manage Business Glossary, Data Dictionary, Data Catalog, and Reference Data & Code Sets.
• Design and implement Collibra workflows for glossary lifecycle, owner/steward assignment, issue management, and escalation.
• Implement Collibra operating model with defined roles (Data Owner, Data Steward, Custodian, Consumer) and RACI mappings.
• Integrate Collibra with data warehouses/lakes (Snowflake, BigQuery, Azure), BI tools (Power BI, Tableau), and ETL/ELT tools (Informatica, dbt, ADF).
• Lead metadata ingestion across technical, operational, and business metadata.

3. Data Ownership, Stewardship, and Accountability

• Define and institutionalize data ownership and stewardship across business units.
• Partner with business leaders to assign Data Owners and Stewards.
• Drive accountability for data definitions, data quality, and metadata completeness.
• Establish Data Governance Councils and working groups.

4. Data Quality and Issue Management

• Collaborate with data quality teams to define Critical Data Elements (CDEs) and align rules and thresholds.
• Configure Collibra issue management workflows and ensure traceability from issues to root causes and remediation actions.
• Provide governance oversight for remediation and continuous improvement.

5. Compliance, Risk, and Security Governance

• Define governance controls for regulatory compliance, contractual data, and financial reporting.
• Partner with Legal, Risk, and Security to classify sensitive data and apply access and usage policies.
• Implement data classification and privacy metadata within Collibra.

6. Stakeholder and Program Leadership

• Serve as the single point of accountability for the data governance program.
• Present progress, metrics, and risks to senior leadership.
• Mentor governance analysts, stewards, and platform administrators.
• Coordinate with system integrators and vendors as required.

Required Skills and Qualifications

Mandatory

• 12–18+ years in data management, data governance, or analytics leadership.
• Deep hands‐on experience implementing Collibra from scratch at enterprise scale.
• Strong expertise in business glossary and metadata management, stewardship models, and workflow automation in Collibra.
• Proven track record driving enterprise adoption of governance platforms.
• Excellent stakeholder management and communication skills.

Preferred

• Experience in real estate, property management, construction, facilities, or capital projects.
• Familiarity with DAMA‐DMBOK, DCAM, or similar governance frameworks.
• Exposure to data quality tools such as SODA, Great Expectations, or Informatica DQ.
• Experience integrating Collibra with cloud data platforms.
• Prior experience leading governance programs in large, federated organizations.
• Collibra certification is a plus.

Behavioral and Leadership Attributes

• Strategic thinker with strong execution capability.
• Balances business pragmatism with governance rigor.
• Influences without formal authority and drives change.
• Excellent storytelling and change management skills.
• Hands‐on leader who can configure Collibra and mentor teams.

Success Measures First 12 Months

• Collibra platform live with core real estate domains onboarded.
• Business glossary adopted across key business units.
• Formal data ownership established for critical datasets.
• Measurable improvement in metadata completeness and data quality visibility.
• Governance operating model embedded into daily business processes.

Sr. Data Engineer (PySpark & Python + AI Tools Exp.) - (Only W2 or 1099)

Charlotte, NC (Hybrid)

12+ Months Contract

Job Description:

We are currently seeking a Senior Data Engineer with hands-on coding experience and a strong background in Python, PySpark, and Object-oriented programming.

The ideal candidate will be responsible for designing, developing, and implementing new features to our existing framework using PySpark and Python.

This position requires a deep understanding of data transformation and the ability to create standalone scripts based on given business logic. Also, exposure to AI Tools and building any AI applications will be advantage.

Key Responsibilities:

• Design, develop, and optimize large-scale data pipelines using PySpark and Python.
• Implement and adhere to best practices in object-oriented programming to build reusable, maintainable code.
• Write advanced SQL queries for data extraction, transformation, and loading (ETL).
• Collaborate closely with data scientists, analysts, and stakeholders to gather requirements and translate them into technical solutions.
• Troubleshoot data-related issues and resolve them in a timely and accurate manner.
• Leverage AWS cloud services (e.g., S3, EMR, Lambda, Glue) to build and manage cloud-native data workflows (preferred).
• Participate in code reviews, data quality checks, and performance tuning of data jobs.

Required Skills & Qualifications:

• 6+ years of relevant experience in a data engineering or backend development role.
• Strong hands-on experience with PySpark and Python, especially in designing and implementing scalable data transformations.
• Solid understanding of Object-Oriented Programming (OOP) principles and design patterns.
• Proficient in SQL, with the ability to write complex queries and optimize performance.
• Strong problem-solving skills and the ability to troubleshoot complex data issues independently.
• Excellent communication and collaboration skills.
• Hands-on experience with AI Tools.

Preferred Qualifications (Nice to Have):

• Experience working with AWS cloud ecosystem (S3, Glue, EMR, Redshift, Lambda, etc.).
• Exposure to data warehousing concepts, distributed computing, and performance tuning.
• Familiarity with version control systems (e.g., Git), CI/CD pipelines, and Agile methodologies.
• Exposure to AI Tools and hands-on experience of building any AI applications.

Overall Responsibility:

This role supports the design, development, and optimization of Arora’s enterprise data and ERP systems. This role reports directly under the Data Analytics Manager to improve financial reporting, support platform integrations, and build scalable data architecture that enables informed decision-making across the organization.

The position combines technical execution (SQL, automation, system configuration) with financial reporting support and cross-platform integration work to ensure accuracy, efficiency, and long-term system sustainability.

Essential Functions:

• Execute reporting and system requests in alignment with established data governance standards and reporting frameworks under the direction of the Data Analytics Manager.
• Contribute to the design of data models and system workflows that reduce manual processes and improve cross-functional data visibility.
• Support internal dashboards by creating backend data solutions and integrating with Vision.
• Provide system-level troubleshooting and ensure data consistency and reliability across platforms.
• Collaborate with teams to streamline processes through automation and data tools.
• Maintain documentation of data procedures, workflows, and system modifications.
• Support financial reporting and analysis by developing standardized, scalable reporting solutions aligned with company-wide data architecture.
• Assist in translating financial and operational requirements into structured reporting outputs and automation workflows.
• Assist in platform integrations (ERP, CRM, BI tools, and other enterprise systems) to support long-term architectural alignment and scalability.

Needed Skills:

• Ability to program in SQL at an expert level to assist data processes. Potential need for other programming language knowledge (Java, Python, etc.).
• Ability to create and maintain productive relationships with employees, clients, and vendors.

Education/Experience Minimum:

• 3-5 years of experience
• Strong programming skills having the ability to write complex queries.
• Preferred familiarity with all Microsoft platforms, including but not limited to Excel, Power BI, SharePoint, and SQL Server.
• Preferred experience with Deltek Vision v7.6 and VantagePoint
• Experience in building automated processes and data workflows.
• Strong problem-solving and attention to detail.

Title: Data Center Technician

Location : Macungie, Pennsylvania, United States

Contract : 1 year with Extension

Job Description:

We are looking for a Level 1 Data Center Technician to support day-to-day operations in the data center. The candidate will assist with basic technical tasks, monitor systems, and ensure the smooth functioning of data center equipment.

Key Responsibilities:

• Monitor data center systems, servers, and network devices.
• Perform basic hardware installation, replacement, and troubleshooting.
• Rack and stack servers, switches, and other equipment.
• Support cable management and labeling in the data center.
• Monitor alerts and escalate issues to Level 2 or senior engineers when required.
• Perform routine checks on power, cooling, and environmental systems.
• Maintain documentation and update asset inventory.
• Assist with system backups and basic maintenance tasks.
• Follow data center security and safety procedures.

Required Skills:

• Basic knowledge of servers, networking, and hardware components.
• Understanding of data center operations and infrastructure.
• Familiarity with operating systems like Windows or Linux (basic level).
• Ability to troubleshoot hardware issues.
• Good communication and documentation skills.

Qualifications:

• Diploma or Bachelor’s degree in IT, Computer Science, or a related field.
• 0–2 years of experience in IT support or data center environment.
• Basic knowledge of networking and hardware support.

Preferred Skills:

• Experience with server hardware installation.
• Knowledge of cable management and rack installation.
• Familiarity with ticketing systems.

Electrical Engineer - Data Centers - San Francisco

Metric DCX are partnered with a global engineering and consultancy firm to support the continued growth of their data center division.

This Electrical Engineer position will specialize in data center facility design to be embedded directly with a major end-user client.

Responsibilities:

• Assessing third-party and colocation facilities being considered for acquisition, evaluating their suitability against the client's portfolio requirements.
• Taking ownership of power systems across all project phases, identifying and resolving issues as they arise in collaboration with the relevant client stakeholders.
• Reviewing data center designs with a critical eye on redundancy architecture, availability targets, and potential single points of failure.
• Working closely with operations, planning, and energy strategy teams to push electrical solutions forward on third-party data center projects.
• Conducting technical due diligence and maintaining quality standards in line with client expectations.
• Keeping internal documentation, specs, and standards current based on live project feedback and lessons learned.
• Liaising with internal teams on power loading, rack deployment, and load balancing within shared facilities.
• Contributing to cross-discipline coordination with mechanical and controls engineers, and supporting consistency across regional teams.

Background Required

• Degree-qualified in Electrical Engineering; a postgraduate qualification or PE license would be a strong advantage.
• At least five years working within mission-critical environments, with solid hands-on exposure to colocation and multi-tenant data center projects specifically.
• Confident in power systems analysis and the software tools that come with it.
• Practical experience across the full electrical distribution stack — from high voltage transformers down to branch circuits — covering design, procurement, commissioning, and operations.
• Comfortable working across disciplines and engaging with structural, mechanical, civil, and IT/Telecom teams as needed.
• Grounded in US electrical codes and standards, with some awareness of IEC standards beneficial.

Title: Technical Trainer

Job Type: Contract

Pay Rate Range: $40.00 - $48.00/hr

Location: Orlando, FL

Work Mode: Hybrid

Interview Mode: Video (WebEx)

GOAL: Train school-based and district-level end users to use the new enrollment/registration platform, Focus School Software. The training will include new and transfer enrollments, withdrawals, and updating student demographic data. The trainer will need to become familiar with both systems, Focus and Skyward. The Technical Trainer will, under limited supervision, design and deliver a comprehensive range of training.

Responsibilities:

Essential functions include, but are not limited to, the following:

• Delivering group instruction and training covering applications, operations, and/or functions in a specified field
• Developing training curricula and recommending or utilizing vendor programs meeting instructional goals and objectives
• Formulating training outlines and determining instructional methods and the effectiveness of lecture-based, E-Learning, workshops, and web-based training courses
• Selecting, developing, and supporting training aids, including, but not limited to, training handbooks, applications, and visual aids to be used with lecture-based, web-based, and E-learning training
• Coordinating administrative functions necessary to deliver and document training programs
• Evaluating the effectiveness of training and development programs, and utilizing relevant evaluation data to revise or recommend changes in instructional objectives and methods
• Assisting in analyzing and assessing training and development needs

Qualifications & Experience:

• Bachelor’s degree in a related field or prior training work experience
• At least 3 years of experience directly related to the duties and responsibilities specified
• Comprehensive knowledge of training plans, curricula, and design and development
• Knowledge of implementation and certification of specialty training projects
• Training and organizational skills
• Ability to assess training needs and objectives
• Ability to design, develop, implement, and evaluate training programs, including training plans, curricula, and methodology
• Strong interpersonal and communication skills, and the ability to work effectively with a wide range of knowledge levels in a diverse community

Knowledge, Skills, and Abilities:

• Proven work experience as a Trainer, Training Facilitator, or similar role
• Hands-on experience coordinating training events
• Extensive knowledge of instructional design theory and implementation
• Adequate knowledge of learning management systems and web delivery tools
• Proven ability to complete full training cycle (assess needs, plan, develop, coordinate, monitor, and evaluate)
• Familiarity with traditional and modern job training methods and techniques
• Experience with training in a public-school platform
• MS Office proficiency
• Advanced organizational skills with the ability to handle multiple assignments
• Strong communication skills