Senior Security Engineer, Data (Tapestry)

About Tapestry

Tapestry is Alphabet’s moonshot for the electric grid, working at the frontier where energy’s complexity meets AI’s potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.

To keep pace with humanity’s growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced, AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently—ensuring electricity remains reliable and affordable for everyone.

This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.

Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design—all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here.

About The Role

As a Senior Data Security Engineer, you will protect the security and integrity of Tapestry’s data throughout its entire lifecycle. You will partner closely with our Data Engineering teams to implement technical guardrails within our GCP environments and energy-specific data pipelines. Your work ensures that as we reshape the global energy landscape, we maintain the highest standards of data protection, privacy, and system integrity.

You will play a key role in shaping secure-by-design data systems that support innovation across a regulated and high-impact environment.

How You Will Make 10X Impact

• Engineer and scale technical guardrails for data protection, including encryption-at-rest/transit and cryptographic key management.
• Partner with Data Engineering to design and implement secure data pipelines, focusing on data masking and integrity checks.
• Deploy and manage security tooling for data classification, mapping, and Data Loss Prevention (DLP) across the stack.
• Interface with Legal and Product teams to refine requirements for data retention, destruction, and privacy-by-design.
• Develop automated monitoring and access controls to ensure least-privilege principles for all Energy Sector data sets.
  
  

What You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5 years of experience in security engineering with a specialization in Data Security or Privacy Engineering.
• Experience with large-scale data processing and modeling in cloud-native environments (GCP preferred).
• Proficiency in scripting or automation (Python, SQL, or Go) for data security automation and analysis.
• Strong grasp of foundational computer science concepts to optimize the performance of security controls within data-heavy applications.
  
  

It’d be great if you also had one or more of these:

• Working knowledge of power systems or electric grid data technologies.
• Experience with GCP data services (BigQuery, Spanner, Cloud Storage) and IAM governance.
• Knowledge of enterprise security architectures and compliance standards for regulated data.
• Experience with RDF or graph database security.
  
  

Our values

• Take charge: We take initiative and own outcomes that move the mission forward.
• Transform with purpose: We build solutions that solve real problems and create meaningful impact.
• Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
• Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
• Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.
  
  

What We Offer

A culture that supports growth, ownership, and meaningful impact, along with:

• Competitive salary and equity
• Medical, dental, and vision coverage
• Generous PTO and flexible hybrid work model
• 401(k) with employer contribution
• Professional development
• The ability to work on important real-world problems within an Alphabet-backed environment
  
  

The US base salary range for this full-time position is $166,000 - $244,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits.