Technical Account Manager - Acceldata Data Observability Cloud (ADOC)

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.

REQUIREMENTS

• 12+ years of experience as a Solution Architect in enterprise data management or data platforms and distributed systems (Data & Control plane architectures).
• 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).
• 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.