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Tripleseat · 3 days ago

Senior Data Operations Engineer

United States

Full-time

Hybrid

Senior Level

$135K/yr - $155K/yr

5+ years exp

Tripleseat is the leading web-based event management and sales platform designed for restaurants, hotels, and unique venues. They are seeking a passionate Senior Data Operations Engineer who will own and evolve the technical infrastructure powering Tripleseat's data pipelines and analytics platforms, focusing on building reliable data flows and developing data models for business insights.

Event ManagementInternetSoftware

Work & Life Balance

Responsibilities

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

Qualification

Data EngineeringMySQLSnowflakeETL/ELT PipelinesDbtDagsterAWSGitData ModelingCommunication

Required

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