Overview
Senior Implementation Engineer who partners with U.S. government customers to deploy OpenGov cloud software, owning the most complex product configurations and underlying data migrations, and mentoring less-experienced engineers.
What you'll do
- Lead data migration, configuration, and testing of OpenGov cloud software for the most complex government implementations across the United States.
- Perform configuration reviews across the team, validating platform setup against documented requirements, product best practices, and long-term maintainability before go-live.
- Perform data reviews, validating migrated data for completeness, accuracy, and integrity, and reconciling source-to-target data.
- Own complex customer data migration end to end, including database schema mapping, ETL tool configuration, and advanced scripting.
- Confirm and pressure-test customer requirements across configuration and data, resolving ambiguity and advising customers on optimal solution design.
- Design and execute comprehensive test scenarios that validate configuration and migrated data produce accurate, expected outcomes prior to go-live.
- Serve as the primary technical point of contact for government stakeholders such as Budget Directors, IT personnel, and decision-makers, guiding them through deployment and integration.
- Identify recurring customer pain points and partner with cross-functional teams to simplify, enhance, and automate processes.
- Mentor and coach Associate and mid-level Implementation Engineers, reviewing their configuration and data work.
- Define and improve implementation standards, templates, playbooks, and reusable tooling.
- Partner with Project Management, Customer Success Management, Data/Integration, and Product teams to ensure a consistent customer experience and channel field feedback into the product roadmap.
What you'll need
- 3 to 5 years of experience in software implementation, data migration, or technical consulting, ideally with enterprise or SaaS products.
- 3+ years of hands-on SQL scripting experience, including complex queries, data transformation, and reconciliation.
- 2+ years of Python, or similar, scripting experience for automation and data processing.
- Deep experience with database technologies and with ETL and data-migration concepts and tools, including schema design and performance considerations.
- Experience implementing AI-driven solutions for automation, workflow optimization, and data-driven insights, leveraging modern frameworks and AI models.
- Demonstrated ability to deliver complex implementations end to end and to mentor or provide technical guidance to less-experienced engineers.
- Excellent interpersonal, verbal, and written communication skills, with a strong teamwork and customer-service mentality across executive and technical stakeholders.
- Strong attention to detail, with the proven ability to validate, reconcile, and sign off on data and configuration for accuracy.
- Ability to adapt to a rapidly changing product and respond strategically to evolving customer needs.
- Bachelor's degree in a technical or related field.
Details
Read the full description and apply on the company’s own careers page.