Lead Data Engineer - San Jose - ON Data Staffing

    ON Data Staffing
    ON Data Staffing San Jose

    10 hours ago

    $140,000 - $220,000 (USD) per year *
    Description

    Lead Data Engineer / Architect – Databricks

    As a Lead Data Engineer / Architect, you will play a key role in shaping and scaling our client's Databricks data platform and lakehouse architecture. You will lead the design and delivery of modern data solutions, enabling the business to unlock value from its data while building a high-performance engineering function.

    Key Responsibilities

    Databricks Platform Leadership

    Lead the design, development, and optimisation of scalable data platforms built on Databricks and the modern data stack.

    Architect and implement robust data pipelines, lakehouse architectures, and distributed data processing solutions that support advanced analytics and AI initiatives.

    Technical Architecture & Delivery

    Provide technical leadership across the full data lifecycle, including data ingestion, transformation, governance, and performance optimisation within the Databricks ecosystem.

    Work closely with data scientists, analysts, and product teams to ensure data platforms are reliable, scalable, and aligned with business objectives.

    Databricks Expertise

    Act as the internal subject matter expert for Databricks, Spark, Delta Lake, and modern data engineering practices.

    Stay current with the latest developments within the Databricks ecosystem and drive continuous improvement of platform capabilities.

    Team Leadership & Mentorship

    Lead and mentor a team of data engineers, fostering a culture of technical excellence, collaboration, and innovation.

    Support the growth of the data engineering team through mentoring, technical guidance, and best practices.

    Qualifications

    Proven experience working as a Lead Data Engineer or Data Architect, with deep expertise in Databricks and modern data platforms.

    Strong experience designing and operating large-scale data pipelines and lakehouse architectures.

    Hands-on expertise with Spark, Delta Lake, SQL, Python, and cloud data platforms (AWS, Azure, or GCP).

    Experience leading or mentoring engineering teams within enterprise environments.

    Education & Certifications

    Bachelor's degree in Computer Science, Engineering, or a related field.

    Databricks certifications or equivalent experience are highly desirable.

    * This salary range is an estimation made by beBee
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