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Lead Data Engineer R
Job Location:
Monthly Salary:
Posted:
29 September 2026 (3 days ago)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Lead Data Engineer
Job requirements
- 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
- 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
- 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
- Bachelors or Masters degree in Computer Science Information Technology Engineering or a related field
- Relevant industry certifications in AWS Snowflake or dbt are highly desirable
Experience Range: 8- 10 years of experience in data engineering with hands-on expertise in Snowflake dbt and AWS cloud services Key Responsibilities:
Required Skills:
Preferred Skills:
Desired Qualifications:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
