Atlan

Director of Engineering

Job Description

As a Director of Engineering, you will lead engineering efforts to design and deliver scalable Platform-as-a-Service (PaaS) and metadata-driven connector frameworks for data-centric use cases. This role is pivotal in driving innovation, operational excellence, and customer-centric outcomes for an advanced data ecosystem. You will oversee a distributed engineering organization, shaping its technical direction and fostering a high-performance engineering culture that delivers transformative solutions for global customers leveraging data-driven insights.


What Impact will you create?
  • This role is instrumental in enabling end users to seamlessly integrate, manage, and scale their data workflows across the Atlan platform. By leveraging metadata-driven automation and cutting-edge PaaS capabilities, you will redefine how businesses optimize data pipelines, ensure efficient integration, and unlock operational efficiencies through intelligent data solutions.Your leadership will have far-reaching impact, including:Developing next-generation data integration frameworks to support modern data management challenges.Addressing key challenges in the data connector ecosystem, such as high support volumes, integration gaps, and inefficiencies in managing data flows.Advancing platform capabilities to empower organizations to scale data solutions globally, leveraging low-code/no-code frameworks and metadata automation.

    • What will you do?

    • Strategic Vision & Leadership
  • Shape and deliver a comprehensive Connector Frameworks ecosystem, emphasizing scalability, automation, and enterprise-grade readiness for diverse data workflows.
  • Define the technical strategy for metadata-driven data integration that ensures seamless interoperability across systems and reduces time-to-value for customers.
  • Collaborate with senior stakeholders to craft and execute a multi-year engineering roadmap that aligns with broader business goals and product innovations.
    • Team Leadership & Talent Development
  • Lead a diverse, global engineering team, to deliver impactful solutions.
  • Build a strong engineering leadership pipeline, providing mentorship and fostering a growth mindset within the organization.
  • Champion diversity, inclusion, and equity to create a collaborative and innovative team culture.
    • Operational Excellence
  • Drive modernization efforts, ensuring platform reliability, scalability, and security, while meeting enterprise-grade performance standards.
  • Establish and enforce engineering best practices for system design, operational efficiency, and data security.
  • Leverage metrics-driven processes to monitor, evaluate, and continuously improve platform performance.
    • Customer-Centric Innovation
  • Address critical customer needs by streamlining data connector onboarding and improving metadata management across the data lifecycle.
  • Drive AI-powered solutions to simplify complex integration workflows and automate routine data operations, enhancing customer experiences.
  • Act as a trusted partner to customers, ensuring that platform solutions are aligned with real-world data challenges and business outcomes.

    • What makes you a match?

    • Engineering Expertise
  • 15+ years of experience in data engineering, PaaS, or data-driven ecosystems.
  • Proven ability to design and scale secure, enterprise-grade data platforms, including multi-cloud architectures and API-first design.
    • Leadership Excellence
  • Extensive experience leading large, distributed engineering teams, with demonstrated success in building scalable platform marketplaces and fostering high-performing teams.
  • Strong track record in aligning technical strategies with overarching business objectives.
  • Ability to build collaborative relationships with cross-functional stakeholders and external partners.
    • Customer Empathy & Problem Solving
  • Deep understanding of customer data challenges and the ability to deliver practical, scalable solutions to meet evolving needs.
  • Strong ability to align data ingestion frameworks with customer outcomes and drive business growth.
  • Exceptional ability to translate customer pain points into actionable, innovative engineering solutions.
  • Strong analytical skills to diagnose inefficiencies in data workflows and implement effective improvements.


    • Apply Now
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