Technical Account Manager - xLake: Data & AI Platform

Acceldata; Campbell (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading data solutions firm is seeking a Technical Account Manager to act as a customer-facing technical advisor. The successful candidate will lead high-impact technical projects and ensure the long-term success of enterprise accounts. With over 12 years of experience in data management, the role demands strong consultative skills and expertise in cloud environments. This position will involve close collaboration with internal teams and customers to foster successful outcomes.

Qualifications

• 12+ years of experience in enterprise data management or data platforms.
• Prior experience as a Solution Architect in a data platform or management company strongly preferred.
• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).

Responsibilities

• Lead high-impact customer technical projects including reference architectures and demo applications.
• Provide technical leadership to support customers post-sale.
• Assist customers with transformational data projects in complex environments.
• Collaborate with internal teams to ensure successful delivery and customer satisfaction.

Skills

Enterprise data platforms

Distributed systems

Data pipelines

Cloud environments (AWS, Azure, GCP)

Apache Spark

Kubernetes

Education

Bachelor’s degree in Computer Science

Tools

Informatica

Collibra

Alation

Atlan

Databricks

Snowflake

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 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).
• 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.
• - 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)