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    Specialist Solutions Architect - California, United States - Databricks

    Databricks
    Databricks California, United States

    3 weeks ago

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    Description
    We are open to hiring in any remote location in the USA.
    As a Specialist Solutions Architect (SSA) - Machine Learning on theHealthcare & Life Sciences


    team, you will guide customers in building big data solutions on Databricks that span a large variety of machine learning use cases.

    You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with MLFlow and expertise in other MLOps technologies.

    SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform.

    As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be machine learning, MLOps, industry expertise, or more.


    The impact you will have:
    Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from feature engineering, training, tracking, registry, serving to model monitoring all within a single platform
    Architect production level workloads, including end-to-end ML pipelines load performance testing and optimization
    Become a technical expert in Databricks Machine Learning and MLOps technologies
    Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
    Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
    Contribute to adoption of a variety of the ML offerings Databricks with customers as well as the larger Databricks Community

    What we look for:
    5+ years hands on experience in a technical role with expertise in at least one of the following:

    MLOps Engineer:
    Build and maintain cloud infrastructure that supports the deployment of ML models and algorithms, monitors data drift, integration with production systems
    Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems
    Experience maintaining and extending production data systems to evolve with complex needs
    Deep Specialty Expertise regarding ML concepts including Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow
    Production programming experience in SQL and Python, Scala, or Java
    2 years hands-on professional experience with Big Data technologies (e.g. Spark, Hadoop, Kafka) and architectures
    2 years customer-facing experience in a pre-sales or post-sales role
    Can meet expectations for technical training and role-specific outcomes within 6 months of hire
    Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
    Ability to travel up to 30% when needed
    Medical, Dental, and Vision
    401(k) Plan
    FSA, HSA and Commuter Benefit Plans
    Equity Awards
    Flexible Time Off
    Family Planning
    Fitness Reimbursement
    Employee Assistance Program (EAP)
    Business Travel Accident Insurance
    Mental Wellness Resources
    Pay Range Transparency
    Databricks is committed to fair and equitable compensation practices.

    The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.

    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.

    Based on the factors above, Databricks utilizes the full width of the range.

    The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

    For more information regarding which range your location is in visit our page here .

    Zone 1 Pay Range
    $139,800



    $247,300 USD
    About Databricks
    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.

    Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

    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. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

    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.

    Compliance

    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.

    #J-18808-Ljbffr


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