Data Engineering Lead

Seer Interactive

. Set the technical direction and architecture standards for Seer’s data platform .

Posted 10/13/2026full-timeRemote • United StatesSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expert-level fluency in the GCP data stack, including BigQuery, Dataflow, and Airflow, while leading architectural decisions and mentoring data engineers. Proficient in designing CI/CD pipelines and automating data processes to enhance efficiency and observability.

Highest-signal resume keywords

GCP Data Stack ExpertiseBigQuery Cost ReductionCI/CD Pipeline DesignModular dbt ProjectsTechnical Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced SQLExpert Git SkillsData ModelingDimensional ModelingAutomated TestingData Pipeline ArchitectureLookMLLookerLLM IntegrationData Quality Management

Soft Skills

Strong Estimation SkillsTime ManagementAdaptabilityCollaborationTechnical Authority

Tools & Technologies

BigQueryDataflowAirflowCloud RunCloud FunctionsCloud StorageFivetranDbtLookerCI/CD Tools

Industry Keywords

Data Platform ArchitectureProduction PipelinesData IngestionObservabilityMarketing Context

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Set the technical direction and architecture standards for Seer’s data platform
Own the data platform end-to-end across BigQuery, Dataflow, Airflow, Cloud Run, Cloud Functions, Cloud Storage, and ingestion tools such as Fivetran
Define data modeling and serving standards using dimensional modeling, dbt incremental models, LookML, Looker, row-level security, and MCP
Structure data for agents to provide correct, deterministic answers to non-technical users
Automate dbt testing, documentation, schema-change impact assessment, and migration or backfill planning
Build triage agents that diagnose pipeline failures and data-quality alerts and fix or recommend fixes
Improve observability through AI-powered workflows
Reduce BigQuery costs and dashboard load times
Document systems through playbooks, decision records, and onboarding paths
Mentor data engineers and analysts through code reviews, pairing, and technical guidance
Collaborate with project managers and provide estimates and deadline feasibility visibility
Lead architectural decisions and influence the end-to-end operation of Seer’s data stack

Requirements

What you’ll need

Expert-level fluency across the GCP data stack, including BigQuery, Dataflow, Airflow, Cloud Run, Cloud Functions, Datastore, and Cloud Storage
Track record of architecting production pipelines end-to-end
Expert command of modular dbt projects, reusable LookML, Looker explores, embedded dashboards, and proprietary cross-platform data models
Advanced SQL skills
Expert Git and version control skills
Experience designing CI/CD pipelines with multi-stage deploys, automated test gates, and production debugging
Experience crafting layered, context-aware prompts and building LLM evaluation harnesses
Experience integrating LLMs into engineering workflows
Strong estimation skills
Track record of leading through technical authority and mentorship
Ability to work continental US-based hours
Marketing context and interest in clients, campaigns, and strategy
Ability to manage time, context-switch, juggle multiple priorities, and adapt to new tools and processes

Benefits

Comp & perks

Final offered compensation determined by skills and experience
Compensation evaluated at least once a year
Remote-first work arrangement
Option to work from the HQ office in Philadelphia
Certified B-Corp organization
Inclusive environment and equal opportunity employment