# Lead Data Engineer - R01571409 at Brillio

> India · Staff · Data engineering · open. Source: https://alderhq.app/jobs/lever%3Abrillio-2%3A74b72ad5-8232-4530-a543-eaa8a26818a5 (read 2026-11-06).

## Facts (observed)

- Company: [Brillio](https://alderhq.app/companies/brillio)
- Location text: Bangalore, Karnataka, India
- Where it can be done from (inferred): India (evidence: "Location lists "bangalore"")
- Posted: 2026-09-22 (45 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/brillio-2/74b72ad5-8232-4530-a543-eaa8a26818a5
- Skills listed (inferred): Python, AWS, Snowflake, dbt, SQL

## Pay and sponsorship

- Posted pay: not posted
- H-1B filings at this company for similar roles, FY26: 17, median offered wage $137k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))

## Description (the employer's text)

Lead Data Engineer

### Job requirements

Experience Range: 8- 10 years of experience in data engineering, with hands-on expertise in Snowflake, dbt, and AWS cloud services Key Responsibilities:

- Develop, maintain, and optimize dbt models, macros, and tests to support scalable ETL/ELT data pipelines
- Administer and manage Snowflake data warehouses, including databases, schemas, roles, and security configurations to ensure robust data governance
- Optimize complex SQL queries and warehouse performance, reducing processing times and improving storage utilization
- Manage and integrate AWS services such as S3, Lambda, Secret Manager, IAM, and CloudWatch to build and maintain reliable cloud data infrastructure
- Implement and maintain CI/CD pipelines for automated deployment and release management of data solutions
- Configure and monitor data quality checks, alerting systems, and performance monitoring to ensure high data reliability and integrity
- Troubleshoot and resolve production issues, conducting thorough root cause analysis to minimize downtime and prevent recurrence
- Collaborate closely with analytics, business intelligence, and engineering teams to deliver high-impact, scalable data solutions aligned with business objectives
- Medallion modeling: Design, build, and maintain dbt models across Bronze → Silver → Gold layers for the assigned domain.
- Governance alignment: Partner with the Data Governance team so models meet certification and quality-gate standards before promotion.
- Downstream support: Support data modeling for downstream analytics platform consumers (dashboards and data products)
- Troubleshooting & support: Diagnose and resolve pipeline issues; participate in on-call/support rotation as needed.
- Documentation: Document data lineage, model logic, and key technical decisions so the work is maintainable by the internal team.
- Maintain and Develop APIs
### Required Skills

- Advanced proficiency in SQL (basic and advanced)
- Expertise in developing and managing dbt models, macros, and tests
- Hands-on experience with Snowflake data warehousing, including Time Travel and Fail Safe features
- Strong understanding of ETL/ELT fundamentals and best practices
- Proficiency in Python for data engineering and automation tasks
- Administration of Snowflake warehouses, databases, schemas, and role-based security
- Management of AWS services such as S3, Lambda, Secret Manager, IAM, and CloudWatch
- Implementation and maintenance of CI/CD pipelines for data deployments
- Configuration of monitoring, alerting, and data quality checks in cloud data platforms
### Preferred Skills

- Experience with modern data platform fundamentals and architecture
- Expertise in optimizing large-scale data pipelines for performance and cost efficiency
- Familiarity with data governance and compliance best practices in cloud environments
- Knowledge of infrastructure-as-code tools for cloud resource management
- Exposure to advanced Snowflake features such as data sharing and secure data exchange
### Desired Qualifications

- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field
- Relevant industry certifications in AWS, Snowflake, or dbt are highly desirable

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Abrillio-2%3A74b72ad5-8232-4530-a543-eaa8a26818a5 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.