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Ann Arbor

    Enterprise Cloud Data Architect - Ann Arbor, United States - Evolutyz Corp

    Evolutyz Corp
    Evolutyz Corp Ann Arbor, United States

    3 weeks ago

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    Description
    Position is eligible for 10% bonus. Onsite presence 2-3 days per week is REQUIRED.

    As a Cloud Data Solutions Architect focused on Data Solutions and Data Management, your primary responsibility will be to ensure building a scalable, secure and efficient data platform / lakehouse with Azure / Databricks.

    The role is a senior level technical role that will be accountable for the end-to-end cloud data management solution.

    The ideal candidate will have experience in large scale modern data warehouse development and had success leading cross-team technical discussions that drive key decisions and implementation.

    The cloud data solutions architect would partner with Digital/AI/ML Architects and teams to define data activation frameworks.

    Role:
    Hybrid (at Client Headquarters, Ann Arbor)

    GENERAL RESPONSIBILITIES

    • Work with clients to understand their business needs and develop technical requirements for cloud-based data solutions.
    • Design and implement logical and physical data models that are appropriate for the chosen cloud and/or hybrid data warehouse environment.
    • Implement data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data.
    • Participate in the definition of future data management / governance architecture, with alignment to value creation opportunities across the business.
    • Conduct complex technology and system assessments for architecture solutions
    • Communicate the companywide Architecture strategy and direction to both management and systems related teams
    • Stay current with new and emerging technologies and make recommendations on their adoption.
    • Understand compliance and risk management requirements for supported areas
    • Ensure applications adhere to established Client standards, policies, methodologies, and industry best practices.
    • Partner with architects across Data Science and Digital organizations to create data activation frameworks supporting realtime (or near realtime) needs.
    Qualifications

    Position Requirements:

    • Experience with multiple full life-cycle data warehouse / transformation implementations in public cloud
    • Deep technical knowledge of 1 public cloud services
    • 3-5 years of experience in architecting data and AI solutions on public cloud
    • Deep understanding of data architectures that utilize Data Lakehouse / Data Mesh
    • Demonstrated ability to quickly research, learn, adopt, and apply new technologies
    • Proven experience with creating efficient (Cost/Performance) architectures that conform to functional/SLA needs
    • Strong SQL and database skills working with large structured and unstructured data
    • Strong familiarity with enterprise reporting solutions (PowerBI, Qlik, Tableau), data virtualization and semantic modeling
    • Expertise with solution development using No-SQL data platforms
    • System development lifecycle (SDLC), Agile Development, DevSecOps, and common software development tools such as Git and Jira
    • Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences.

    • Infrastructure as Code (IaC) technologies such as Azure Resource Manager (ARM) or Terraform
    • Familiarity with Docker, and docker orchestration like Docker Compose or Kubernetes
    • Familiarity with AI/MLOps concepts
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