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Professional Services Engineer

Remote- USA East Coast

Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

We are building a global team passionate about innovation and next-gen technology. BigID has been recognized for: 

  • BigID named one of Forbes America's Best Startup Employers 2026 - ranked #15 overall and #1 in Security
  • BigID named Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec Awards
  • Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
  • CRN 100 list named BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies (3 years running)
  • DUNS 100 Best Tech Companies to Work for
  • Top 3 Big Data and AI Vendors to Watch in the 2023 BigDATAwire Readers and Editors Choice Awards
  • 2024 Inc. 5000 list for the 4th consecutive year!
  • Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity

At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.

About the Role:

BigID's Services team is central to how our customers succeed — we own the setup, integration, and deployment of BigID's discovery tools for customers and implementation partners. As a Services Delivery Engineer, you'll be the technical backbone of that experience: translating customer requirements into working solutions, troubleshooting deployment issues at their root cause, and partnering with Engineering and Product to make every future rollout smoother than the last.

Who we seek:

BigID is growing quickly, and we are expanding our Services team and seeking a Professional Services Engineer in the EST time zone. The services team plays an important role in the successful setup, integration, and deployment of BigID's discovery tools for our customers and implementation partners. This position also works to identify the root cause of any deployment issues and works with the larger team to help resolve them to ensure the success of the customer.

What you’ll do:

  • Partner directly with client stakeholders to understand technical requirements and align them to business objectives
  • Plan and lead implementation engagements — deploying solution components and configuring the product to meet each client's specific environment
  • Collaborate across internal teams and client organizations to ensure smooth rollout and successful integration of BigID solutions
  • Deliver technical training tailored to the audience, from hands-on admins to executive stakeholders
  • Identify root causes of deployment issues and drive them to resolution
  • Work closely with Engineering and Product Management to document field issues, enhancement requests, and opportunities to improve the implementation process

What you’ll bring:

  • 3+ years in a customer-facing technical role, ideally in product implementation or hands-on deployment within enterprise environments
  • Solid troubleshooting and operational knowledge across some combination of: Compute, Storage, Networking, Databases, DevOps, Big Data/Analytics, Security, and Application Development
  • Proven experience across the full solution lifecycle: problem identification, system architecture, hardware/software specification and design, implementation, testing, client training, and deployment
  • A proactive mindset — you look around corners for both internal and customer challenges before they become blockers
  • Hands-on experience with Docker and Kubernetes deployments
  • Working knowledge of one or more databases: MongoDB, Microsoft SQL Server, Oracle Database, PostgreSQL, MySQL/MariaDB, or IBM DB2
  • Experience with a major cloud platform: AWS, Azure, or Google Cloud Platform
  • Experience working with REST APIs
  • Programming or scripting proficiency in Java or Python

Nice to have:

  • Familiarity with Hadoop (Hive/Spark)
  • Familiarity with Data Governance, Data Privacy, and/or Data Security Posture Management tools.
  • Prior SaaS implementation experience

Our Values:

We look for people who embody our values - Care, Do, Try & Shine.

  • Care - We care about our customers and each other
  • Do - We do what it takes to make a positive impact
  • Try - We try our best and we don’t give up
  • Shine - We shine and make it our mission to always stand out

BigDiversity: We’re committed to creating a culture of inclusion, diversity, and equality – across race, gender, sexuality, disability and neurodiversity – where innovation and growth thrive, every voice is heard, and everybody belongs.

The annual base salary range is $90,000 - $110,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance.  This position is not eligible for employment visa sponsorship, now or in the future. All candidates must be legally authorized to work in the United States.

BigBenefits: 

💻 Work from home with a global remote-first community

🏆 Global Culture Corner

🏝 Flexible PTO and Quarterly Volunteer Days

💸 Equity Participation

🏥 100% employer-covered medical, dental, and vision options available to you

🐶 Additional insurance benefits like pet insurance and legal assistance 

📚 Learning & Development Opportunities 

💰 Fidelity Employer Sponsored 401K 

🍼 Paid Parental Leave

#LI-Remote

#LI-YD1

We’re committed to creating a culture of inclusion and equality – across race, gender, sexuality, and disability – where innovation and growth thrive, every voice is heard, and everybody belongs. Learn more about us here.

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