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Technical Account Manager - xLake: Data & AI Platform

Acceldata · United States; Campbell, CA; California

Extracted from the posting

Base
$200,000 – $250,000
Remote
Hybrid
Stack
Apache Spark, Kafka, Kubernetes, Databricks

Technical Account Manager owning long-term customer success and value realisation for Acceldata's strategic enterprise accounts on the xLake data and AI platform. Work includes architecting solutions, leading customer technical projects and migrations, and authoring 3–4 quarter Joint Success Plans with Sales, Product, and Engineering. Requires 12+ years in enterprise data platforms, with hands-on Spark, Kafka, Kubernetes, Databricks, and Snowflake experience.

ABOUT THE ROLE

Our Technical Account Managers are customer-facing technical advisors and architects who own long-term customer success and value realisation for Acceldata’s strategic enterprise accounts.

Our TAMs act as trusted technical advisors and architects, partnering closely with Strategic Account Managers, Product, and Engineering teams to translate customer business priorities into multi-quarter technical success plans, align product capabilities with customer needs, and enable predictable account expansion. This is a high-impact, consultative role focused on outcomes for both the customer and Acceldata.

Platform Link :

https://www.acceldata.io/xlake-home

RESPONSIBILITIES

    REQUIREMENTS

    • 12+ years of experience as a Customer-Facing Architect in enterprise data management or data platforms and distributed systems (Data & Control plane architectures).
    • Deep understanding of data pipelines and metadata management, data observability, lineage, and governance.
    • Familiarity with data quality, data catalog, and governance tools like Informatica, Collibra, Alation, Atlan, etc.
    • Experience working across AWS, Azure, or GCP environments.
    • Experience with modern cloud data platforms such as Databricks and Snowflake.
    • Hands-on experience with: - Apache Spark, Kafka, and other open source big data platform technologies. - Kubernetes and containerized workloads.
    • Strong consultative mindset with enterprise customers, with the ability to translate business outcomes into technical architectures.
    • Executive-level communication and stakeholder management skills.
    • Proven ability to manage multiple complex customers simultaneously.
    • Comfortable influencing Product and Engineering through structured inputs.
    • Experience in a global SI or consulting firm, managing multiple customer engagements in a consultative role, is highly desired.
    • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).

    Compensation: USD 200,000 – 250,000 per year salary

    Technologies

    Apache SparkKafkaKubernetesDatabricksSnowflakeInformaticaCollibraAlationAtlan
    Acceldata
    Acceldata

    Job details

    TypeFull-time
    Work ModeHybrid
    LevelSenior
    Location🇺🇸Campbell, CA
    Salary$200,000 - $250,000
    PostedNov 06, 2026
    Apply Now