Summary
BigID is an innovative tech startup specializing in data security, compliance, privacy, and AI data management. They are seeking a Professional Services Engineer to lead implementation engagements, troubleshoot deployment issues, and collaborate with internal teams to ensure successful integration of their solutions.
Responsibilities
- 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
Skills
- 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
- Familiarity with Hadoop (Hive/Spark)
- Familiarity with Data Governance, Data Privacy, and/or Data Security Posture Management tools
- Prior SaaS implementation experience
Qualifications
Must Haves
- 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 Haves
- Familiarity with Hadoop (Hive/Spark)
- Familiarity with Data Governance, Data Privacy, and/or Data Security Posture Management tools
- Prior SaaS implementation experience
Benefits
- 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