Resident Solutions Architect

6 Days ago • All levels • Devops

Job Summary

Job Description

The Resident Solutions Architect will be responsible for both architectural leadership and hands-on development. This role involves discovering and onboarding new Acceldata Data Observability Cloud (ADOC) use cases and building new connectors for ADOC, requiring a strong developer background in Python or Java. Key responsibilities include identifying, evaluating, and prioritizing new ADOC use cases, collaborating with stakeholders, leading the onboarding process, developing architectural frameworks, and providing architectural guidance. Additionally, the role requires designing, developing, and maintaining custom connectors for ADOC using Java or Python, collaborating with cross-functional teams, writing clean code, and troubleshooting performance issues.
Must have:
  • Discover & Onboard ADOC Use Cases
  • Build New Connectors for ADOC
  • Strong development experience in Python or Java
  • Experience with architectural leadership
  • Excellent problem-solving skills
Good to have:
  • Experience with Cloud Platforms
  • Stakeholder management skills
  • Ability to work independently and collaboratively
  • Strategic thinking
  • Solution-oriented mindset

Job Details

About the role:

The Resident Architect will play a dual role, focusing equally on architectural leadership and hands-on development. This position is responsible for discovering and onboarding new ADOC use cases and building new connectors for ADOC with a strong developer background in Python or Java.


Key Responsibilities:

    • 1. Solutions Architect: Discover & Onboard ADOC Use Cases
    • Identify, evaluate, and prioritise new use cases for ADOC within the organisation.
    • Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
    • Lead the onboarding process for new ADOC use cases, ensuring seamless integration and adoption.
    • Develop architectural frameworks and best practices for ADOC implementation.
    • Provide architectural guidance and support to project teams throughout the lifecycle of ADOC use cases.
    • Monitor and report on the progress and effectiveness of onboarded use cases.
    • Ensure compliance with organisational standards, security, and scalability requirements.


    • 2. Development: Build New Connectors for ADOC
    • Design, develop, and maintain custom connectors for ADOC using Java or Python.
    • Collaborate with cross-functional teams to gather connector requirements and ensure robust integration.
    • Write clean, efficient, and well-documented code for connector development.
    • Troubleshoot, debug, and optimise connector performance.
    • Stay updated with the latest advancements in Python, Java, and connector development best practices.
    • Ensure all connectors meet quality, security, and compliance standards.
    • Provide technical mentorship to junior developers.

Qualifications:

    • Experience with Cloud Platform is highly desirable.
    • Proven experience as an Architect with a track record of discovering and onboarding technology use cases.
    • Strong hands-on development experience in Python or Java, with a focus on building connectors or integrations.
    • Excellent problem-solving, communication, and stakeholder management skills.
    • Ability to work independently and as part of a collaborative team.
    • Bachelor’s or Master’s degree in Computer Science, Information Technology, Architecture, or a related field.

Competencies:

    • Strategic thinking and a solution-oriented mindset.
    • Strong technical acumen in both architecture and software development.
    • Ability to balance multiple priorities and deliver results in a fast-paced environment.
    • Commitment to continuous learning and professional growth.
    • This role is ideal for professionals who are passionate about both architectural strategy and hands-on software development, particularly in the context of ADOC use cases and connector development.


At Acceldata, our new Agentic Data Management (ADM) offers solutions by introducing AI-powered agents that collaborate with human teams to proactively monitor, diagnose, and resolve data issues. We are revolutionising data observability in how enterprises manage and observe data by offering comprehensive solutions tailored to each organisation's unique needs. Our platform integrates various technologies, enabling seamless data observability for modern enterprises.

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