acceldata
Technical Account Manager - Acceldata Data Observability Cloud (ADOC)
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Customer-facing technical leader owning long-term technical success and value realization for strategic enterprise accounts. Architect and lead implementations, migrations, and scalable cloud-native deployments; build joint success plans; monitor adoption and health; partner with Sales, Product, and Engineering; and provide technical guidance, reference architectures, and feedback to drive predictable expansion and customer outcomes. Travel to customer sites as needed.
About the Role:
Our Technical Account Managers are customer-facing technical advisors and architects responsible for owning long-term customer technical success and value realization 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.
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 and 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)
Top Skills
Alation
Spark
Atlan
AWS
Azure
Collibra
Databricks
GCP
Informatica
Kafka
Kubernetes
Snowflake
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