Explore our comprehensive guide on Big Data Privacy Experts. Learn about their roles, skills required, and importance in data security today.
A Big Data Privacy Expert is a professional who specializes in managing and safeguarding vast amounts of data. The principal responsibilities of this role include designing and implementing strategies to protect data, complying with data privacy regulations, and managing risks associated with data privacy. This profession requires extensive knowledge of data privacy laws such as GDPR and CCPA. They need to have strong skills in big data technologies and privacy-enhancing technologies. In the scope of privacy, they undertake duties like ensuring the design and implementation of software solutions are aligned with privacy requirements. Big Data Privacy Experts work closely with data governance teams to establish protocols for data use and storage. They also conduct privacy impact assessments and audits of data systems. Communication skills are crucial because they train other staff members and create awareness about data privacy. To become one, a degree in computer science, data science, law or a related field is usually needed, although significant work experience in the field of big data and data privacy could substitute for formal education. Certifications like Certified Information Privacy Professional (CIPP) can enhance career prospects.
Big Data Privacy Expert is a professional role that supports organizations in managing and protecting big data, respecting privacy laws, and using data ethically. The main requirements and skills needed for this position include:
Education: A degree in Computer Science, Information Technology, Data Science, or related field.
Experience with Big Data Tools: Knowledge and experience with big data tools like Hadoop, Spark, and NoSQL databases.
Knowledge of Privacy Laws: Familiarity with data privacy regulations such as GDPR, CCPA, etc.
Technical Skills: Proficiency in coding and scripting languages like SQL, Python; understanding of data encryption methods; data warehousing and ETL tools.
Analytical Skills: Ability to analyze complex data sets and draw insights.
Communication Skills: Ability to translate technical jargon into plain language for non-technical stakeholders.
Certifications: Certifications such as Certified Information Privacy Professional (CIPP), Certified Information Privacy Manager (CIPM), etc., can add value.
Problem-Solving Skills: Ability to identify vulnerabilities, assess risks, and recommend end-to-end security solutions.
Remember, these requirements may vary from company to company based on their specific needs and the nature of their business.
Industries that need a Big Data Privacy Expert:
Healthcare: Big Data Privacy Experts are required to protect the sensitive health data of the patients while ensuring compliance with policies such as HIPAA.
Finance/Banking: They ensure customer's financial data is safeguarded against breaches and verify the compliance with regulations like GDPR.
E-commerce: They protect customer data which includes browsing habits, purchase history and personal information from potential misuse or unauthorized access.
Information Technology: IT companies need them to prevent data breaches, secure the intellectual property and maintain customer's confidentiality.
Advertising: They manage the privacy of user data while collecting and analyzing data to target ad campaigns effectively.
A Big Data Privacy Expert's utility extends beyond just securing the data. They develop strategies for data privacy, manage data governance programs, build secure data architectures, conduct risk assessments, and ensure compliance with the respective regulatory frameworks. They bridge the gap between data utility and data security, ensuring that the data is useful while still maintaining the user's privacy rights.
Looking for a job that you’ll love?
Submit your resume today and let us connect you with exciting job opportunities!
Share this page
Personal Information:
John Doe
St. Manhattan, NY
johndoe@gmail.com
Objective:
Seeking a position as a Big Data Privacy Expert to utilize my extensive knowledge in data privacy regulations and my proven track record in managing large volumes of data securely.
Professional Experience:
Big Data Privacy Specialist at Cyber Security Solutions, NY (2016-2021)
Developed and implemented data privacy policies and compliances
Managed privacy audits
Coordinated with IT and legal experts in data breaches
-Data Analyst at Tech Solutions, NY (2012-2016)
Conducted data analysis using Big Data tools
Ensured data collection complied with privacy standards
Coordinated with various departments in establishing data privacy regulations
Skills:
Expert knowledge in Big Data tools (Hadoop, Spark, Hive)
Knowledgeable in international data privacy laws (GDPR, CCPA)
Excellent communication skills
Education:
-MSc. in Computer Science, specializing in Data Analysis, NYU (2010-2012)
BSc. in Computer Science, NYU (2006-2010)
Certifications:
Certified Information Privacy Professional (CIPP)
Certified in Data Privacy Solutions (CDPS)
References:
Available upon request.
Determine your interest in the field: Big data privacy involves understanding and applying restrictions on data usage and distribution. Make sure you're interested in working with data and in the privacy sector.
Educational requirements: A degree in information technology, computer science, or a related field is often required. Courses in big data, analytics, and privacy law are beneficial.
Relevant skills: Look for skills in cybersecurity, data analysis, privacy law, machine learning, data management frameworks (such as Hadoop), and scripting languages (like Python or SQL).
Certification: Privacy certifications like Certified Information Privacy Professional (CIPP), Certified Information Privacy Manager (CIPM), or Certified Information Privacy Technologist (CIPT) can increase your job prospects.
Job prerequisites: Many employers require some years of experience in data privacy or a related field.
Job Search: Use job search platforms, social media, and professional networks to find job opportunities.
Evaluate the Job Offering: Consider features like the company culture, growth opportunities, job roles and responsibilities, location, salary, and benefits.
Apply for suitable Jobs: Customize your resume and cover letter to suit each job application. Highlight your relevant qualifications, skills, and experiences.
Interview: Prepare thoroughly for the interview by reviewing commonly asked questions and brushing up on industry knowledge and trends.
Choose the profession you want with HopHR
Unlock Your Dream Job
Get job openings that match your skills and preferences, including details on responsibilities, project scope, and compensation.
Share this page
What do you understand by data privacy?
Answer: Data privacy is the practice of ensuring that the data shared by customers is only used for its intended purpose. It involves legal, procedural, physical, and IT security measures to protect data from unauthorized access, use, or disclosure.
How would you handle a suspected data breach?
Answer: Firstly, I would isolate and secure the affected systems to prevent further damage. Then, with the help of the IT team, I would investigate the breach extent. The legal team would be engaged to notify affected customers, compliant with the data breach notification laws.
Which laws and regulations are most significant about data privacy?
Answer: Important regulations include the General Data Protection Regulation (GDPR) in the EU, the California Consumer Privacy Act (CCPA) in the United States, and the Personal Data Protection Bill in India.
What methods would you use to ensure data anonymity?
Answer: I would use methods like data masking, pseudonymization, and tokenization. Data encryption, local differential privacy, and secure multi-party computation can also be useful.
What privacy risks are unique to big data?
Answer: Large data sets can increase the risk of data breaches and unauthorized access. Identifying specific users despite anonymization measures, and Big Data's tendency to collect more data than necessary, can lead to privacy concerns.
United States: $122,000 USD
Canada: CAD 96,000 (approximately $75,000 USD)
Germany: EUR 70,000 (approximately $75,000 USD)
Singapore: SGD 120,000 (approximately $88,000 USD)
Switzerland: CHF 120,000 (approximately $130,000 USD)
The demand for Big Data Privacy Experts has surged due to the exponential growth of data generated from digital platforms and the need for privacy. Companies are adopting data-driven strategies and have concerns over data privacy regulations, pushing demand for these expertise. They are crucial in providing solutions that balance innovative use of data and privacy regulations like GDPR and CCPA. According to Burtch Works, 71% of data professionals reported an increased demand for expertise in data privacy. The US Bureau of Labour Statistics also estimates a 32% growth rate for data professionals including Big Data Privacy Experts by 2028 - much faster than average for all occupations. The average salary, according to Glassdoor, is around $111k p.a as of 2021. However, it is a highly specialized field requiring proficiency in big data technologies, knowledge in legal and ethical aspects of data privacy, making it a competitive field.
CVS Health, a US leader with 300K+ employees, advances America’s health and pioneers AI in healthcare.
AstraZeneca, a global pharmaceutical company with 60K+ staff, prioritizes innovative medicines & access.
HCSC, a customer-owned insurer, is impacting 15M lives with a commitment to diversity and innovation.
Clara Analytics is a leading InsurTech company that provides AI-powered solutions to the insurance industry.
NeuroID solves the Digital Identity Crisis by transforming how businesses detect and monitor digital identities.
Toyota Research Institute advances AI and robotics for safer, eco-friendly, and accessible vehicles as a Toyota subsidiary.
Vectra AI is a leading cybersecurity company that uses AI to detect and respond to cyberattacks in real-time.
BaseHealth, an analytics firm, boosts revenues and outcomes for health systems with a unique AI platform.
Access top vetted diverse Talents. Accelerate your hiring process, reduce interviews, and ensure quality.
.png){kind=logo}
