Senior Technical Consultant

Precisely US Jobs
Remote

About The Position

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. 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. 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.

Requirements

  • Bachelor’s degree required
  • Equivalent work experience accepted in lieu of formal education
  • 10+ years of experience in the data integration space
  • 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
  • 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
  • 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

Nice To Haves

  • 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

Responsibilities

  • 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
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