Technical Account Manager Customer Success

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings.

com or connect with us on Linked In, X (formerly Twitter), Facebook, and Instagram.

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. Remote - New York, Texas, Philadelphia, Florida, North Carolina, Minnesota, Colorado, Georgia, Illinois

Bachelor's degree in Computer Science, Engineering, or a related technical field.

• ~Technical Consulting, Partner Engineering, Solutions Engineering).
• ~ 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., Experience with Agile project management tools like Jira and version control using Git/Git Hub.
• ~ Master's degree in Computer Science, Data Science, or equivalent experience.
• ~Technical Consulting, Partner Engineering, Solutions Engineering).
• ~ Familiarity with alerting/monitoring tools (e.g., Familiarity with data orchestration tools like Airflow.
• ~ Hands-on experience with AI tools such as Claude or Snowflake Intelligence is a plus.

• ~ 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.

• ~ Design, build, and optimize scalable data pipelines and ETL workflows.
• ~ Develop in Python using libraries like pandas, numpy, polars, pyspark, and boto
  3.
• ~ Leverage AWS services including S3, EC2, Redshift, Athena, Glue, EMR, Event Bridge, Batch, and Cloud Watch.
• ~ Write efficient, production-grade SQL for data transformation and analysis.
• ~ Manage CI/CD pipelines using Git Hub, Jenkins, and Docker.
• ~ Follow Agile best practices using Jira and contribute to a Dev Ops culture.
• ~ Troubleshoot and resolve complex data issues across AWS services, data pipelines, and codebases (Python, SQL, etc.).

• ~ Leverage AI tools such as Claude to accelerate client-facing technical documentation, automate data pipeline troubleshooting, and streamline SQL/Python…