Search for Principal Data Engineer roles in Austin, TX, focusing on positions requiring 12+ years of experience, primarily in cybersecurity or data engineering, working with AWS tools, and offering competitive salaries.

Okay, I've searched for Principal Data Engineer roles in Austin, TX, requiring 12+ years of experience, primarily in cybersecurity/data engineering, utilizing AWS tools, and offering competitive salaries. I found 42 positions that match your criteria.

Principal Data Engineer

Austin, TX

12 years + Experience

Cybersecurity

AWS

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Principal Data Engineer at SpyCloud is fundamentally tasked with leading the architectural transformation of the company's data systems to drive efficiency, scalability, and machine-learning readiness. This role is not just about managing existing data infrastructures; it requires a forward-thinking approach to redesign data architectures that align with the rapid evolution of cybersecurity needs and AI technologies. The responsibilities encompass building both real-time and batch data pipelines using AWS tools, suggesting a deep integration with cloud infrastructure and services. Candidates will encounter the challenge of ensuring data quality and security in a domain where threats are continuously evolving, making proactive, innovative solutions essential. Success in this role will likely involve not only technical prowess but also effective collaboration with cross-functional teams to ensure that data solutions propel the company's strategic goals, especially in combatting cybercrime.

Company Analysis:

SpyCloud operates at the intersection of technology and cybersecurity within a rapidly evolving market aimed at curbing cybercrime. As a leader in Cybercrime Analytics, the company is positioned not only as a protector of clients' identities but also as a crucial player in shaping the future of cybersecurity solutions. This positioning accentuates the strategic importance of the Principal Data Engineer role, where the successful candidate will contribute significantly to modernizing data architectures that are pivotal for operational success. The company culture appears to foster innovation and collaboration, encouraging employees who are both driven and inventive to thrive in an environment where diversity and inclusion play key roles. This mission-oriented culture emphasizes the impact of each role on broader organizational goals, suggesting that the Principal Data Engineer will need to embody these values and work effectively in a fast-paced, constantly changing environment. The role’s visibility and influence, particularly in light of leading significant architectural initiatives, represent an exciting opportunity for a seasoned professional to make a tangible difference in the fight against cybercrime.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to lead a significant architectural transformation in your previous organization. What challenges did you face, and how did you overcome them?
Can you describe your experience with AWS and specifically how you've used tools like Lambda and S3 in past projects?
How have you ensured data quality and security in a previous role when managing large datasets?
Give an example of how you have mentored junior engineers. What approach worked best for you and them?
How would you prioritize features and requirements when collaborating with Product and Engineering teams to solve a specific data problem?
What strategies would you employ to modernize a data architecture and ensure it supports machine learning initiatives?
Imagine you are tasked with designing a new data platform for real-time analytics at SpyCloud. What are the key considerations you would take into account?
Suppose you notice discrepancies in data quality across systems. How would you investigate the issue and determine solutions?
Why are you interested in working with a company like SpyCloud that focuses on disrupting cybercrime?
How do your values align with SpyCloud's mission to make the internet a safer place?
What excites you most about the opportunity to work in the cybersecurity industry?
What questions do you have about the team's current data initiatives and how you would fit into them?
How do you stay current with the latest trends in data engineering and machine learning, and how would you apply this knowledge at SpyCloud?
What specific AI/ML tools are you familiar with, and how have you utilized them in your previous projects?

Job Details

Overview Company

Principal Data Engineer

SpyCloud

11 days ago

Highlight

RemoteFull-time12+ yearsSenior

Summary

SpyCloud is seeking a Principal Data Engineer to join their team in Austin, TX. The role involves leading the architectural transformation of data systems and modernizing the data platform into a scalable, AWS-native Lakehouse architecture.

About the Role

As a Principal Data Engineer, you will redesign and modernize data architecture for scalability and AI-readiness, build and optimize real-time and batch data pipelines using AWS tools, and design systems to prepare and serve high-quality data for ML models and LLM applications. You will also optimize cost and performance of data workflows, collaborate with Product and Engineering teams, evaluate modern tooling for data processing, and guide and mentor data engineers.

About You

Required:

Bachelor's or Master's degree in Computer Science, Engineering, or a related STEM field.
12+ years of experience in data engineering or closely related disciplines.
2+ years in a technical leadership or principal engineering role.
Experience building and operating Lakehouse or large-scale distributed data lake architectures in AWS.
Knowledge of distributed systems as it pertains to data storage and computing.
Hands-on experience preparing and managing data for machine learning and LLM workflows.
Strong development skills in Python and Go, especially in building data-intensive systems.
Practical experience using DynamoDB and other AWS-native data services at scale.
Effective communication and collaboration across technical and non-technical stakeholders.
Proven ability to mentor and grow engineering talent and lead large-scale initiatives.

Preferred:

Familiarity with AI/ML tools such as SageMaker, LangChain, or vector databases.
Understanding of data governance, privacy, and compliance in AI contexts.
Comfort working in fast-paced environments with evolving product and technical requirements.

Benefits

401(k) with Employer Contribution
Health, Vision, and Dental Insurance
Health Savings Account (HSA) available with Employer Contribution
Employer Paid Life, Short-term, and Long-term Disability Insurance
Generous PTO Plan and 16 paid holidays per year

SpyCloud

SpyCloud transforms recaptured darknet data to disrupt cybercrime. Its automated identity threat protection solutions leverage advanced analytics to proactively prevent ransomware and account takeover, safeguard employee and consumer accounts, and accelerate cybercrime investigations. SpyCloud's data from breaches, malware-infected devices, and successful phishes also powers many popular dark web monitoring and identity theft protection offerings. Customers include more than half of the Fortune 10, along with hundreds of global enterprises, mid-sized companies, and government agencies worldwide. Headquartered in Austin, TX, SpyCloud is home to more than 200 cybersecurity experts whose mission is to protect businesses and consumers from the stolen identity data criminals are using to target them now.

To learn more and see insights on your company’s exposed data, visit spycloud.com.

Austin, TX