Job Specifications
About The Role
Our TECHNICAL ACCOUNT MANAGER are customer-facing technical advisor and architect responsible for owning long-term customer technical success and value realisation for Acceldata’s strategic enterprise accounts.
Our TAM acts as a trusted technical advisor and architect, partnering closely with Strategic Account Managers (SAMs), Product, and Engineering to translate customer business priorities into multi-quarter technical success plans, align product capabilities to customer needs, and enable predictable account expansion. This is a high-impact, consultative role focused on customer & Acceldata outcomes.
Key Responsibilities
Technical Leadership & Solutions Architecture
Lead high-impact customer technical projects, including reference architectures, how-to guides, demo applications, and production-grade MVPs.
Provide technical leadership and consultation to support customers post-sale, guiding architecture, design, implementation, and adoption of Acceldata solutions.
Assist customers with transformational data projects, including migrations, installations, and deployments in complex environments.
Help overcome technical challenges across Kubernetes, cloud platforms, and data workflows, optimizing customer deployments.
Collaborate with internal Engineering, Product, Project Management, and Support teams to ensure successful delivery, issue resolution, and customer satisfaction.
Architect end-to-end solutions with a focus on scalability, performance, security, and cloud-native best practices.
Travel to customer sites as needed to deliver deep technical engagement and business impact.
Provide feedback to Product and Engineering on product gaps, areas for improvement, and feature requests that support long-term customer success.
Customer Success & Value Ownership
Act as a trusted technical advocate for a defined set of accounts, partnering closely with Sales & Products.
Author and manage Joint Success Plans / Success Contracts (for next 3–4 quarters).
Build strong relationships with customer technical stakeholders to ensure adoption, value realization, and satisfaction.
Monitor technical health, usage adoption, and deployment success; proactively intervene and mitigate risks.
Participate in business and technical reviews, roadmap discussions, and strategic planning to align product value with customer objectives.
Translate technical achievements into business impact, providing actionable insights and metrics for customer leadership.
Required Technical Skills
Strong expertise in enterprise data platforms and distributed systems (Data & Control plane architectures).
Hands-on experience with:
Apache Spark, Kafka and other open source big data platform technologies
Kubernetes and containerized workloads
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, Snowflake is bonus.
Required Professional & Consulting Skills
Strong consultative mindset with enterprise customers
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 & Education
12+ years of experience in enterprise data management or data platforms
Prior experience as a Solution Architect in a data platform or data management company strongly preferred
Experience in a global SI or consulting firm, managing multiple customer engagements in a consultative role, highly desired
Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
About the Company
Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and other initiatives.
Founded in 2018, Campbell, CA-based Acceldata developed the world's first enterprise data observability platform to help enterprises build and operate great data products. Built on that foundation, Acceldata's xLake Reasoning Engine now powers the Agentic Data Management platform.
Acceldata's solutions have been embraced by global enterprises such as Nestle, Du...
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