Senior Analyst - Technical Privacy

Posted Yesterday
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New York, NY
Hybrid
153K-207K Annually
Mid level
Artificial Intelligence • Cloud • Software • Cybersecurity
We are building the monitoring and security platform for developers, IT ops teams and business users in the cloud age.
The Role
The Senior Analyst will work with Privacy and Data Governance, developing privacy engineering solutions in collaboration with engineering teams. Responsibilities include setting technical direction, formulating strategies, and improving data privacy management. The role requires expertise in privacy risks, scalable controls, and privacy by design architecture.
Summary Generated by Built In

We are seeking a highly skilled and experienced Analyst to join our Privacy and Data Governance Team. While some risks can be addressed through process updates, others require engineering implementation. The role will collaborate with other engineering teams, such as data analytics and security to develop and implement Privacy engineering solutions.
Your responsibilities will include setting technical direction, formulating strategies and plans, developing comprehensive technical documentation, coordinating with cross-functional teams, and implementing scalable and safe solutions to Datadog's privacy needs. Your efforts will ensure that our guidance, tools, and practices lead to concrete improvements in data privacy management and accountability within our privacy program. This position offers a chance to make a significant impact, from building internal services used company-wide, to refining how Datadog engineers utilize data and tools in their daily tasks.
You Will

  • Work in a fast, high-growth environment that respects its engineers and customers
  • Design and implement privacy by design architecture to solve problems at high scale
  • Identify privacy risks and translate to scalable, pragmatic controls for data collection, storage, access, usage, and deletion in both data warehouse environments and operational data systems
  • Recommend and demystify the benefits of various Privacy Enhancing Technologies


Who are you

  • 4+ years of experience in engineering
  • You're passionate about privacy and data protection
  • You have experience with Agile methodologies and product development frameworks
  • You have a BS/MS/PhD in a scientific field or equivalent experience
  • You want to work in a fast, high growth environment
  • You have prior experience in software development, working with large-scale distributed systems, or data engineering technologies


Bonus Points

  • You've worked at high scale with systems like Redis, Cassandra, Kafka
  • You wrote your own data pipelines once or twice before
  • You have a strong background in statistics
  • You have significant experience with Go, C, or Python


Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
The reasonably estimated yearly salary for this role at Datadog is:
$153,000 - $207,000 USD
About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Your Privacy:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice .

Top Skills

C
Go
Python

What the Team is Saying

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The Company
HQ: New York, NY
5,000 Employees
Hybrid Workplace
Year Founded: 2010

What We Do

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another.

Why Work With Us

At Datadog, we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems, innovate pragmatically, and grow together. We promote from within, provide mentorship and opportunities for career development, and support our colleagues in the process. Best of all? We truly love what we do.

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Datadog Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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