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Senior Data Operations Engineer

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Tripleseat

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Location:
United States , Concord

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

135000.00 - 155000.00 USD / Year
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Job Description:

The Senior Data Operations Engineer owns and evolves the technical infrastructure powering Tripleseat's data pipelines and analytics platforms. This role is responsible for building reliable data flows from production systems into our Snowflake data warehouse, developing data models that enable business insights, and integrating data from across the organization. The ideal candidate combines strong database fundamentals with modern data engineering practices, bringing a mindset of automation, reliability, and operational excellence to everything they build.

Job Responsibility:

  • Build, operate, and maintain reliable ETL/ELT pipelines moving data from MySQL and other source systems into Snowflake using Dagster, Stitch, and dbt Core
  • Create data pipelines that read from external APIs and write to Snowflake, integrating data from business systems across the organization (Salesforce, etc.)
  • Optimize the dbt project build to enhance build times and reduce warehouse costs
  • Automate ingestion, transformation, validation, and monitoring processes to increase reliability
  • Ensure pipelines meet SLAs for data availability, latency, and accuracy
  • Design and build data models in Snowflake that support analytics, reporting, and business intelligence needs
  • Partner with Developers and Product teams to build data products that drive business value
  • Contribute to data platform roadmap and technical strategy
  • Scale and optimize data platforms as data volumes, concurrency, and business demand grow
  • Identify and resolve performance bottlenecks: query optimization, indexing, warehouse sizing, and workload management
  • Implement and maintain data quality frameworks, schema validation, and drift detection
  • Partner with analytics teams to ensure upstream schema changes and downstream models remain aligned
  • Create and maintain documentation, runbooks, and operational procedures for data pipelines and systems
  • Manage data-related infrastructure: cloud resources, Snowflake warehouses, access controls, and pipeline orchestration
  • Work with DevOps/Engineering to integrate data workflows into CI/CD pipelines and infrastructure-as-code environments
  • Support incident response and root-cause analysis for data pipeline or platform issues
  • Drive technical direction and best practices for the data platform
  • Mentor team members on data engineering practices and tooling
  • Proactively identify opportunities to improve data architecture, reliability, and efficiency

Requirements:

  • 5+ years in data engineering, analytics engineering, or similar data-focused technical roles
  • Strong experience with relational databases, especially MySQL, including schema design and SQL proficiency
  • Experience building and maintaining ETL/ELT pipelines connecting application databases to cloud data warehouses
  • Hands-on experience with Snowflake—warehouse configuration, performance tuning, cost optimization
  • Proficiency with dbt for data transformation and modeling
  • Experience with pipeline orchestration tools, preferably Dagster
  • Comfortable working with Git for version control and collaborative development
  • Experience working in AWS cloud environments
  • Experience leveraging AI-assisted development and analysis tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate workflows and improve productivity
  • Strong communicator who can partner effectively with engineering, product, and analytics teams

Nice to have:

  • Experience with data modeling methodologies and dimensional design
  • Familiarity with infrastructure tools (Terraform, Docker, CI/CD)
  • Experience integrating data from CRM and business systems (Salesforce, HubSpot, etc.)
  • Background in advanced MySQL internals: query optimization, replication, slow query analysis
  • Experience with data cataloging, lineage tracking, or metadata systems
  • Background working in a fast-growing SaaS company or startup environment
What we offer:
  • Competitive Medical, Dental, and Vision Insurance
  • Company Paid Life Insurance, Short- and Long-Term Disability Plans
  • 401(k) with Company Match
  • Parental Leave
  • Flexible Paid Time Off
  • Pet Insurance

Additional Information:

Job Posted:
January 13, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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