[Hiring] Technical Account Manager @PAR Technology

Role Description

Bridg is seeking a Technical Account Manager/Partner (Data) Engineer to join our Partner Engineering team, reporting to the Vice President of Solutions Engineering. Partner Engineering sits at the intersection of client success and technical execution, ensuring our largest enterprise clients have seamless data integrations, efficient onboarding, and long-term technical success. In this client-facing role, you will serve as the primary technical liaison for strategic clients — owning the relationship from scoping through implementation and ongoing support. You will collaborate closely with Customer Success, Product, and Engineering to solve complex data challenges while translating technical concepts into clear, actionable guidance for clients. Communication, collaboration, and empathy matter here just as much as engineering skill.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in a technical role involving direct client interaction (e.g., Technical Consulting, Partner Engineering, Solutions Engineering).
• Exceptional communication skills, with the ability to simplify complex topics for both technical and non-technical audiences.
• Strong SQL skills and experience with data platforms like Snowflake, Redshift, and Athena.
• Proficient in Python and its data stack (pandas, numpy, polars, pyspark, boto3).
• Deep experience with AWS cloud services including core compute, storage, and analytics tools.
• Demonstrated success working with large-scale datasets and a wide variety of data formats (Parquet, ORC, CSV).
• Experience troubleshooting distributed systems and cloud services (e.g., EMR, Lambda, S3, Kubernetes).
• Experience with Agile project management tools like Jira and version control using Git/GitHub.
• A client-focused mindset with strong problem-solving skills and attention to detail.
• Comfortable leading technical discussions, debugging issues, and owning long-term client success.

Requirements

• Master's degree in Computer Science, Data Science, or equivalent experience.
• 5+ years of experience in a technical role involving direct client interaction (e.g., Technical Consulting, Partner Engineering, Solutions Engineering).
• Familiarity with alerting/monitoring tools (e.g., Opsgenie, CloudWatch).
• Familiarity with data orchestration tools like Airflow.
• Experience with Terraform, CloudFormation, or similar infrastructure-as-code tools.
• Prior experience working in a high-growth, client-centric startup or SaaS environment.
• Hands-on experience with AI tools such as Claude or Snowflake Intelligence is a plus.

Benefits

• Technical Account Management (70%)
• Act as the main technical liaison for clients, ensuring long-term success and high satisfaction.
• Translate complex technical concepts into clear, concise updates for non-technical audiences.
• Work cross-functionally with internal teams to resolve technical issues and align on requirements.
• Educate clients on platform capabilities, integration best practices, and data governance standards.
• Proactively manage client communication, expectations, and roadmaps.
• Document solutions and processes clearly in Confluence or internal wikis.

• Data Engineering (30%)
• Translate business requirements into technical solutions and clearly communicate those solutions to clients.
• Design, build, and optimize scalable data pipelines and ETL workflows.
• Develop in Python using libraries like pandas, numpy, polars, pyspark, and boto3.
• Leverage AWS services including S3, EC2, Redshift, Athena, Glue, EMR, EventBridge, Batch, and CloudWatch.
• Write efficient, production-grade SQL for data transformation and analysis.
• Manage CI/CD pipelines using GitHub, Jenkins, and Docker.
• Follow Agile best practices using Jira and contribute to a DevOps culture.
• Troubleshoot and resolve complex data issues across AWS services, data pipelines, and codebases (Python, SQL, etc.).

• AI Integration (FY2026 Requirement — All Roles)
• Leverage AI tools such as Claude to accelerate client-facing technical documentation, automate data pipeline troubleshooting, and streamline SQL/Python code review, improving turnaround time on client solutions.

Interview Process

• Interview #1: Phone or Video Screen with Talent Acquisition Team
• Interview #2: Video interview with the Hiring Manager (via MS Teams)
• Interview #3: Video interview with the Team (via MS Teams)