Technical Account Manager - xLake: Data & AI Platform

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 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).