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    Job · 17180365

    DataNimbus logo

    Senior Data Architect

    DataNimbus · Hyderabad · onsite · Posted 41d ago

    Not disclosed6–10 yrsfulltimeSourced fromInstahyre

    About a minute. You'll make an account on the way through.

    About this role

    Responsibilities:

    • Handle a variety of impactful customer technical projects that may include designing and building reference architectures, creating how-tos, and operationalizing customer use cases.
    • Work with engagement managers to scope a variety of professional services and work with input from the customer.
    • Guide strategic customers as they implement transformational big data projects and 3rd party migrations, including end-to-end design, build, and deployment of industry-leading big data and AI applications.
    • Consult on architecture and design; bootstrap or implement customer projects, which leads to a customer's successful understanding, evaluation, and adoption of Databricks.
    • Provide an escalated level of support for customer operational issues.
    • Collaborate with the project manager, architect, and customer teams to ensure the technical components of the engagement are delivered to meet customer needs.
    • Mentor and guide junior data engineers and team members.


    Requirements:

    • 6+ years of experience in data engineering, data platforms, and analytics on the Databricks platform.
    • Experience with large-scale data migrations to/from Databricks.
    • Consulting/customer-facing experience, working with external clients across a variety of industry markets.
    • Comfortable writing code in either Python or Scala.
    • Working knowledge of two or more common cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
    • Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals.
    • Familiarity with CI/CD for production deployments.
    • Working knowledge of MLOps.
    • Design and deployment of performant end-to-end data architectures.
    • Experience with technical project delivery; managing scope and timelines.
    • Documentation and whiteboarding skills.
    • Experience working with clients and managing conflicts.
    • Deployment and integration of Databricks-based solutions to complete customer projects.
    • Must have Databricks certifications.
    • Strong communication and collaboration skills.
    • Excellent problem-solving skills.
    • Ability to travel up to 30% when needed.

    Sourced from instahyre

    Skills

    Apache Sparkamazon web servicesDatabricksData EngineeringPythonData Migrationclouddata analysisMicrosoft Azuregoogle cloud platformScala

    Senior Data Architect · waiting for your command