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    Senior Solutions Architect - British Columbia, Canada - Databricks Inc.

    Databricks Inc.
    Databricks Inc. British Columbia, Canada

    1 week ago

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    Description
    This role can be remote, specifically targeting candidates in British Columbia and Alberta.

    As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform.

    You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

    RSAs are billable and know how to complete projects according to specification with excellent customer service. You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
    Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
    bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

    You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

    Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

    6+ years experience in data engineering, data platforms & analytics
    ~ Comfortable writing code in either Python or Scala
    ~ Familiarity with CI/CD for production deployments
    ~ Design and deployment of performant end-to-end data architectures
    ~ Experience with technical project delivery - managing scope and timelines.
    ~ Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
    ~ As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform.

    You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

    RSAs are billable and know how to complete projects according to specification with excellent customer service. You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
    Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
    bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

    You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

    Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

    9+ years experience in data engineering, data platforms & analytics
    ~ Comfortable writing code in either Python or Scala
    ~ Familiarity with CI/CD for production deployments
    ~ Capable of design and deployment of highly performant end-to-end data architectures
    ~ Experience with technical project delivery - managing scope and timelines.
    ~ You will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark and the Databricks platform. You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks. You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications
    You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed
    You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers
    Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work
    Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority
    Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts
    4+ years experience in data engineering, data platforms & analytics
    ~ Comfort with object-oriented and functional programming in Scala and Python
    ~ Experience in building scalable streaming and batch solutions using cloud-native components
    ~ Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

    $117,900 — $208,500 CAD
    Databricks is the data and AI company.

    More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

    To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
    Our Commitment to Diversity and Inclusion
    At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

    Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

    If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S.

    government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
    #
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