Owns reliability for GCP-hosted BI APIs and data services, including uptime monitoring, incident response, observability, security reviews, infrastructure automation, and cloud cost alerting. The role also develops and maintains LookML models, Liquid templates, BigQuery SQL, dbt integrations, and data quality processes. Collaboration with backend and data engineers supports reliable pipelines, reproducible deployments, and continuous platform improvement.
Position Title
Job Title: BI Engineer, SRE
Position Overview
Our BI team runs a set of GCP-based APIs and data services that a lot of internal products depend on. As we've grown, keeping things running has increasingly been a side responsibility for engineers who are primarily building features — and that's not sustainable. We're looking for an SRE to own that space: service health, incident response, infrastructure monitoring, and making sure we're not blindly burning cloud budget.
The BI Engineer, SRE will ensure the availability, performance, and security of the Business Intelligence team's GCP-hosted APIs and data infrastructure. This role is responsible for proactive monitoring, incident response, and continuous improvement of platform reliability across a cloud-native stack. The engineer will work closely with backend and data engineers to maintain service health and drive operational excellence. This position also carries responsibility for GCP cost visibility, helping the team track and optimize cloud spend through structured monitoring and alerting.
BI Responsibilities
- Develop, maintain, and improve LookML models, views, and explores across the Looker semantic layer
- Write and manage Liquid (Jinja2, Shopify flavor) templating logic for dynamic and parameterized content within Looker
- Write advanced SQL queries in BigQuery to support data modeling, debugging, and performance optimization
- Collaborate with data engineers on dbt models, ensuring the semantic layer accurately reflects the underlying data
- Identify and resolve data quality and consistency issues across models and explores
- Review and refactor existing LookML for performance, maintainability, and accuracy
- Document data models and business logic to support long-term maintainability
SRE Responsibilities
- Monitor and maintain uptime of GCP-hosted APIs and services, keeping performance within agreed targets
- Lead incident response for BI platform services — triage, resolve, and follow up with post-mortems that actually prevent recurrence
- Build and manage observability infrastructure: dashboards, alerts, and logging across GCP services
- Track GCP cloud spend and set up cost alerting to flag anomalies before they become problems
- Review and fix security gaps — IAP configs, service account permissions, API access controls
- Work with data and backend engineers to shore up reliability of data pipelines and BigQuery workflows
- Contribute to infrastructure-as-code and help keep deployments documented and reproducible
Qualifications
- 3+ years of experience in a BI development or data modeling role
- Bachelor's degree in Computer Science, Engineering, a quantitative field, or equivalent practical experience
- Deep hands-on experience with LookML and Looker, including complex explores and derived tables
- Strong working knowledge of Liquid templating (Jinja2, Shopify flavor) within Looker
- Advanced SQL skills with production experience in BigQuery
- Solid understanding of data modeling concepts and dimensional design
Preferred skills
- Experience with the Looker Extension Framework for building custom embedded applications
- Experience with dbt or willingness to pick it up quickly
- Familiarity with GCP data ecosystem beyond BigQuery (Datastream, Cloud Run, etc.)
- Experience working in version-controlled BI environments (Git)
- Comfortable working across IST/EST time zones in a distributed team
- Experience with dbt or Looker
- CI/CD pipelines and deployment automation (GitHub Actions, Cloud Build, or similar)
- Terraform or other infrastructure-as-code tools
- Python for scripting or automation
- MySQL, Spanner, or BigQuery at any meaningful depth
- GCP cost management and spend optimization
- Comfortable working across CET/EST hours in a distributed team
Hours & Location
- You can work remotely in most countries
- Hours: we are fairly flexible and we could accommodate anything between 7am CEST - 10pm CEST
Comp Structure & Benefits for India FTEs
- Comp structure: fixed (inclusive of PF, Gratuity, and a 25k INR medical premium) + a target annual bonus that is approximately 5% of the gross annual earnings. Note that we don’t offer stock options.
- Time Off: 21 PTOs + 9 company-wide holidays + 1 flexible holiday
- Health Insurance Policy (Self & Family): Every employee and their immediate family are covered under Health Insurance Policy worth INR. 500,000
- Term Life Insurance & Personal Accidental Insurance: Every employee is covered under Term Life Insurance and Personal Accident Insurance Policy worth INR. 25,00,000/- each
Other Countries
- We can hire as contractors via Tight Line/Deel; payment will be on a monthly basis
Selection Process (Might be Subject to Change):
- WebMD SQL Screening Test via CodeSignal (45 minutes)
- PulsePoint SQL Screening Test via CodeSignal (25 minutes)
- Screening Call (30 minutes)
- Hiring Manager Interview (30 minutes)
- Team Interview (2 BI team members, 30 minutes each)
RED FLAGS FOR US:
Candidates won’t succeed here if they haven’t worked closely with data sets or have simply translated requirements created by others into SQL without a deeper understanding of how the data impacts our business and, in turn, our clients’ success metrics.
WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
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