Okay, I've searched for Lead Data Operations Engineer roles in the United States, focusing on remote opportunities, requiring over 9 years of experience, at companies that offer a 401(k) plan, and involve strong skills in REST API and SQL development. I have found 75 suitable positions for you.

Sure. Here's the analysis:

Job Analysis:

The Lead Data Operations Engineer at Thryv is fundamentally responsible for maintaining and enhancing the DataOps framework while ensuring compliance with data governance obligations such as CCPA and GDPR. This role requires a strong technical background with an emphasis on back-end development, particularly in REST API and SQL database design. Candidates must be adept at collaborating with cross-functional teams such as DevOps and QA, which necessitates excellent interpersonal skills and the ability to communicate complex technical concepts to non-technical stakeholders effectively. One key challenge will be the integration between various independent systems, where the engineer must diagnose and optimize processes while maintaining a high standard of documentation and transparency. Success in this position will include not only the technical execution of tasks but also a proactive approach in aligning engineering solutions with business objectives, demonstrating the candidate's understanding of the business purpose behind data handling and governance efforts. Performance expectations may include timely delivery of data solutions, successful integration tests, and a contribution to overall data quality and governance standards within the organization.

Company Analysis:

Thryv operates within the technology sector, focusing on providing automation tools and solutions for small businesses to enhance their operational efficiency. As a company that has been around for over a century, Thryv positions itself as a long-standing partner for local businesses, which indicates a stable but innovative organizational approach. The culture emphasizes teamwork, respect, and a laid-back yet productivity-driven environment, suggesting that candidates should thrive in collaborative settings while also working independently when necessary. The company's commitment to diversity and inclusion echoes throughout its values, indicating a forward-thinking approach that encourages contributions from all team members. In the organizational context, the Lead Data Operations Engineer is likely to have significant cross-functional interactions, providing them with visibility into critical business operations and data-driven decision-making. This role serves to enhance Thryv's strategic aim of helping small businesses succeed, showcasing how data integrity, governance, and technological solutions are aligned with the company's mission to deliver exceptional service to clients.

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

• Behavioral Questions:
• 1. Tell me about a time when you had to resolve a conflict between technical and non-technical stakeholders. How did you approach the situation?
• 2. Describe an experience where you had to implement a data governance policy. What challenges did you face, and how did you overcome them?
• 3. Can you share an example of a project where you had to collaborate with multiple teams? How did you ensure alignment on goals and deliverables?
• 4. Tell me about a time when you took ownership of a project. What steps did you take to ensure its success?
• Technical/Role-Specific Questions:
• 5. What is your experience with developing REST APIs, and can you describe a challenging API you worked on?
• 6. Explain your understanding of 'Infrastructure as Code' and how you have applied it in previous roles.
• 7. How do you typically ensure compliance with data governance regulations such as CCPA and GDPR in your work?
• 8. What tools and methodologies do you prefer for version control, and why?
• Situational Questions:
• 9. Imagine you are tasked with integrating data from multiple independent systems, but you’re encountering unexpected discrepancies. How would you approach diagnosing and resolving these issues?
• 10. If you were assigned to lead a team towards optimizing an existing data pipeline that is underperforming, what initial steps would you take?
• Company Fit/Motivation Questions:
• 11. Why do you want to work at Thryv specifically, and how do you see your values aligning with the company’s mission?
• 12. How would you describe the importance of community for a company like Thryv, and in what ways can you contribute to that culture?
• Questions for the Candidate to Ask the Interviewer:
• 13. What measures does Thryv take to ensure a great work-life balance, especially in a remote work environment?
• 14. Can you discuss any upcoming projects that the Data Operations team will be focusing on, and how do you see this role contributing to those efforts?