Senior Data Engineeer

BuildOps•Los Angeles, CA

2d•Hybrid

About The Position

BuildOps is hiring a senior data engineer for its Analytics team, which owns the data platform supporting BuildOps software. The platform includes pipelines that ingest product data into Snowflake, dbt models used by customers and internal teams, embedded product reporting, and secure data shares that strategic customers can query from their own environments. The work is customer-facing and high-stakes because customers depend on the accuracy of the platform’s data to run their businesses. About 70% of the role focuses on core platform and modeling work: building and operating ingestion pipelines, reducing data latency, designing layered dbt models across product domains, evolving customer data sharing, improving platform reliability and deployment practices, managing cost and performance, and providing technical leadership. About 30% focuses on on-call and partner support, including incident response and helping internal teams with data delivery and analytics. The role also handles Snowflake access, roles, and governance alongside DevOps and IT.

Requirements

At least 5 years of data engineering experience, including ownership of production pipelines end to end.
Deep Snowflake experience, including warehouse sizing and performance and role-based access control; experience with data sharing, dynamic tables, or Iceberg is desirable.
Strong dbt experience with incremental strategies, testing, layered modeling, and understanding the impact of full refreshes.
Hands-on CDC and ingestion experience with tools such as Airbyte, Debezium, Streamkap, Fivetran, or Kafka, and a working understanding of binlogs and replication.
Airflow experience; production-scale experience is preferred, and MWAA is a plus.
Strong SQL and Python skills.
Solid AWS fundamentals.
Experience working in a multi-tenant SaaS data environment.
Calm, methodical incident response and sound judgment about where to fix problems.
Clear written communication for design documents and explaining data issues to non-technical stakeholders.

Nice To Haves

Experience with event-sourced systems.
Embedded BI experience with Sigma or a similar tool, including row-level security.
Terraform experience for Snowflake or other data infrastructure.
Experience with data catalog and governance tools such as Secoda, lineage, and data contracts.
Real-time analytics architecture experience and an understanding of its cost tradeoffs.
Use of AI coding tools such as Claude Code in daily work.

Responsibilities

Own CDC pipelines from operational MySQL and Postgres sources into Snowflake using Airbyte and Streamkap, as well as ingestion from third-party business sources, and recover pipelines when issues occur.
Help move data delivery from batch toward near-real-time using Snowflake dynamic tables, incremental dbt design, and orchestration redesign.
Design and maintain layered dbt models across product domains, ensuring correctness in areas such as history, grain, and reconciliation.
Evolve multi-tenant Snowflake Secure Data Sharing and Apache Iceberg open-format sharing, including tenant isolation, cross-region and cross-cloud fulfillment, and schema-change contracts.
Build SLA, freshness, and completeness instrumentation; improve deployment processes; extend Terraform coverage of Snowflake; and manage warehouse cost and performance.
Write design documents, review code, mentor engineers, and make durable architecture decisions.
Participate in a full-sprint on-call rotation for pipeline incidents, data-share fulfillment, report breakages, and data-accuracy escalations.
Support Product, Finance, Customer Success, RevOps, and Marketing with data delivery and internal analytics.
Handle Snowflake access, roles, and governance work alongside DevOps and IT.