Technical Account Manager - Acceldata Data Observability Cloud (ADOC)

Technical Account Manager - Acceldata Data Observability Cloud (ADOC) Campbell, CA Job Details Full-time 20 hours ago Qualifications Managing customer accounts Stakeholder engagement Databricks Customer relationship building Azure Computer Science Cloud data warehouses Engineering Spark Big data systems 11+ years Consulting experience Client relationship development Scalable systems Snowflake Master's degree Data quality management Technical solutions implementation AWS Bachelor's degree in engineering Solution architecture design Bachelor's degree Containerization Cloud Native Design Contracts Scalability Collibra Kafka Metadata Distributed computing Senior level Informatica Cross-functional collaboration Account management Bachelor's degree in computer science Project leadership Leadership Communication skills Stakeholder relationship building Metadata management Stakeholder management Full Job Description 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 MVP s. 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). 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.

Hands-on experience with:

Apache Spark, Kafka and other open source big data platform technologies. Kubernetes and containerized workloads. 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.