Note: The job is a remote job and is open to candidates in USA. Bridg is hiring a Technical Account Manager/Partner (Data) Engineer to support strategic clients with data integrations, onboarding, and ongoing technical success. The role combines client-facing technical account management with data engineering, collaborating across teams to resolve data challenges and deliver scalable solutions.
Responsibilities
- 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
- 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.)
- 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
Skills
- 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
- 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
- Bonus
- Remote work in New York, Texas, Philadelphia, Florida, North Carolina, Minnesota, Colorado, Georgia, or Illinois
Company Overview
Company H1B Sponsorship