Application and Interview Impersonation Notice: Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (“Precisely”) is unlawful. If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
Overview:
You work closely with customers, sales, and delivery teams to design and deliver complex data integration solutions. You provide hands-on technical leadership across pre-sales, architecture, implementation, and deployment activities. You work across mainframe, IBM i, distributed, and cloud environments to align solutions to business and technical needs. We rely on you to act as a trusted technical advisor and ensure successful customer outcomes.
What you will do:
- Design end-to-end data integration solutions across mainframe, IBM i, distributed, and cloud environments
- Lead technical solutioning during pre-sales engagements
- Perform hands-on implementation, configuration, and deployment of solutions
- Translate customer requirements into scalable technical architectures
- Partner with sales, delivery, and product teams to ensure solution alignment
- Educate customers and internal teams on data integration technologies
- Identify technical risks and drive mitigation
- Support customer deployments including after-hours and on-call needs
What we are looking for:
Required:
- Bachelor’s degree required
- Equivalent work experience accepted in lieu of formal education
- Experience
- 10+ years of experience in the data integration space
- Platform & Environment Experience
- Mainframe environments — 2–5 years preferred
- IBM i (AS/400) environments — 1–3 years preferred
- Linux / UNIX environments — minimum 5 years required
- Cloud technologies (AWS, Azure, and/or GCP) — 1–5 years preferred
- Experience working across heterogeneous environments including mainframe, IBM i, distributed, and cloud
- Technical Skills
- Hands on experience with ETL technologies
- Hands on experience with data replication technologies
- Database administration (DBA) experience — 2–5 years preferred
- Programming experience — 5+ years preferred in Java, C/C++, and/or Python
- Willingness to travel up to 25% and work after hours as required
AI Skills/Knowledge:
- Comfort using AI-assisted tools such as Microsoft Copilot to accelerate development, troubleshooting, and documentation
- Ability to evaluate AI-generated output critically and apply AI responsibly in customer environments
Preferred Skills:
- Strong understanding of enterprise and hybrid data architectures
- Experience working with large enterprise customers
- Exposure to high availability, disaster recovery, or mission critical environments
- Ability to lead technical discussions with business and IT stakeholders
- Mentoring or coaching experience
- Familiarity with Agile or hybrid delivery methodologies
This position is 100% remote anywhere in the US
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