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Assistant Remote Data Protection Jobs in Houston, TX

Everlight Solar

Project Data Assistant

Houston, TX · On-site +1

$30K - $40K/yr

Everlight Solar is seeking a skilled, data-minded individual to be an assistant to our Solar ... This is a FULLY REMOTE, full-time, entry level position. Must own a Mac computer and be fluent with ...

Deloitte

Manager - ServiceNow

Houston, TX · On-site +1

... Data Protection Regulation, or Health Insurance Portability and Accountability Act * Master ... This compensation range is specific to Remote role and takes into account the wide range of factors ...

micro1 AI

Senior Corporate Accountant - Remote

Houston, TX · Remote

$110K - $150K/yr

Partner with leadership to ensure financial data is audit-ready and decision-ready at all times ... Our hiring process utilizes artificial intelligence tools to assist in candidate screening and ...

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All JobsData Protection JobsAssistant Remote Data Protection JobsAssistant Remote Data Protection Jobs in Houston, TX

Assistant Remote Data Protection information

What is the difference between Assistant Remote Data Protection vs Data Security Technician?

AspectAssistant Remote Data ProtectionData Security Technician
CredentialsBasic certifications like CompTIA Security+ or equivalentAdvanced certifications such as CISSP or CISA often preferred
Work EnvironmentRemote or hybrid, supporting data protection tasksOn-site or remote, focusing on security infrastructure
Employer & IndustryIT companies, data centers, cloud service providersCorporate IT security teams, cybersecurity firms
Search & Comparison IntentUnderstanding entry-level or support roles in data protectionTechnical security roles focusing on infrastructure and threat mitigation

The Assistant Remote Data Protection role typically involves supporting data backup, recovery, and basic security tasks remotely, often requiring foundational certifications. In contrast, Data Security Technicians handle more advanced security infrastructure, often on-site, with higher-level certifications. Both roles are vital in data security but differ in complexity, responsibilities, and required credentials.

Is DPO a stressful job?

A Data Protection Officer (DPO) role can be stressful due to the responsibility of ensuring compliance with data privacy laws and managing sensitive information. The job often involves handling complex regulations, audits, and potential legal risks, which can contribute to a high-pressure environment. However, workload and stress levels vary depending on organization size and support systems in place.

How can I make 2000 a week working from home?

As an Assistant Remote Data Protection professional, earning $2000 weekly typically requires high-demand skills such as cybersecurity, data management, and remote work experience. This income level may be achieved through freelance consulting, contract roles, or specialized positions that pay premium rates, often requiring certifications and a strong professional network.

How to make $1000 a week remote?

A remote Data Protection Assistant can earn $1000 a week by working full-time, typically 40 hours, and gaining specialized skills in data security, compliance, and relevant tools like encryption software. Securing certifications such as CISSP or CISA can improve earning potential, and consistent performance in data security tasks is essential for higher pay. Freelance or contract roles may also offer higher weekly earnings depending on experience and project scope.

What is a remote data assistant?

A remote data assistant is a professional who supports data management tasks from a remote location, often handling data entry, organization, and analysis using tools like spreadsheets and database software. They typically require strong attention to detail, basic technical skills, and the ability to work independently in a virtual environment.
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Assistant Remote Data Protection jobs near you
Snowflake Data Architect

Snowflake Data Architect

Tiger Analytics Inc.

Houston, TX • Remote

Full-time

Re-posted 3 days ago

Job description

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for an experienced Snowflake Data Architect to design and implement scalable data models, optimize performance, and enable seamless data access for analytics and reporting. The ideal candidate will have a strong background in data modeling, data warehousing, and Snowflake platform architecture, with hands-on experience integrating with Power BI or other BI tools.

Key Responsibilities

  • Design and develop logical and physical data models in the Snowflake environment to support analytical and reporting needs.
  • Build and maintain semantic data layers to ensure smooth integration with Power BI and other visualization tools.
  • Lead the design and implementation of data warehousing solutions aligned with business requirements.
  • Perform query and performance tuning to optimize Snowflake workloads and resource utilization.
  • Define and enforce data security, access controls, and governance within the Snowflake platform.
  • Collaborate with business and analytics teams to translate requirements into scalable data architecture solutions.
  • Provide best practices and guidance for Snowflake development, data modeling, and data pipeline optimization.

Requirements

  • 12+ years of progressive experience in data engineering, data warehousing, and cloud architecture roles.
  • Minimum of 8+ years specifically in a client-facing role, designing and implementing large-scale data migration projects.
  • Strong experience in data modeling (conceptual, logical, physical) within the Snowflake environment.
  • Strong expertise in data warehousing concepts and ETL/ELT processes.
  • Hands-on experience with Snowflake performance tuning, clustering, and security setup.
  • Working knowledge of Power BI or similar BI tools, with experience building semantic layers.
  • Proficiency in SQL and understanding of data governance and security principles.
  • Experience with cloud data platforms (Azure, AWS, or GCP).
  • Familiarity with data pipeline orchestration tools (e.g., Airflow, Azure Data Factory, DBT).
  • Participate in fast iteration cycles, adapting to evolving project requirements.
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
  • Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment.
  • Ability to work with a global team, playing a key role in communicating problem context to the remote teams

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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