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Director of Engineering - Infinia Data Engine

Director of Engineering - Infinia Data Engine

JobgetherUS
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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director of Engineering - Infinia Data Engine in the United States .

The Director of Engineering will lead the development and optimization of a high-performance AI-native data platform, driving innovation across data ingestion, transformation, and streaming frameworks. This role combines hands-on engineering with strategic leadership, guiding a team to deliver scalable, cloud-agnostic data pipelines and seamless integration with open-source ecosystems. You will collaborate across product, architecture, and field teams to enable AI workloads at scale, while contributing to platform architecture, operational excellence, and engineering best practices. Success in this role requires both deep technical expertise and the ability to inspire and mentor a high-performing engineering team in a fast-paced, globally distributed environment.

Accountabilities

  • Lead, build, and mentor a high-performing engineering team focused on the Infinia Data Engine.
  • Drive the design, development, and optimization of scalable data ingestion, transformation, and streaming pipelines.
  • Architect cloud-agnostic solutions and connectors to integrate with open-source frameworks such as Trino, Delta Lake, Apache Iceberg, Mosaic Streaming, and Ray Data.
  • Collaborate with Product Management, Architecture, and Field teams to align technical roadmaps with customer use cases.
  • Champion operational excellence, including data governance, observability, reliability, and CI / CD practices.
  • Engage with external partners and open-source communities to influence ecosystem development and maintain technical thought leadership.
  • Ensure platform performance, low-latency throughput, and system scalability for AI / ML workloads.

Requirements

  • 10+ years of engineering experience in data infrastructure, distributed systems, or large-scale analytics platforms.
  • Proven track record of building and leading high-performance engineering teams.
  • Deep technical expertise in open-source data frameworks (Trino, Delta Lake, Apache Iceberg, Ray Data, Mosaic Streaming).
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and hybrid deployment architectures.
  • Strong understanding of data ingestion, transformation, streaming, and orchestration for AI workloads.
  • Proficiency in distributed computing, parallel processing, and performance optimization.
  • Excellent cross-functional collaboration, leadership, and technical communication skills.
  • Experience contributing to or leading open-source initiatives is a plus.
  • Familiarity with AI / ML integration, data lakehouse architectures, and HPC or data-intensive compute environments is desirable.
  • Benefits

  • Lead engineering for a cutting-edge AI-native data platform with global impact.
  • Work remotely with flexible arrangements and opportunities to collaborate in key metropolitan hubs.
  • Influence and contribute to high-profile open-source projects and technical communities.
  • Professional growth in a fast-paced, innovative, and collaborative environment.
  • Competitive compensation, healthcare, and retirement benefits.
  • Access to mentorship, learning resources, and team development initiatives.
  • Opportunity to shape the future of AI and data-intensive computing.
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching .

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias , focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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