Technical Lead (DWH team)
Project description
Owns the technical direction, quality, and delivery enablement of the data platform within the team. Ensures scalable architecture, reliable releases, and strong engineering practices while enabling the team to deliver efficiently within defined engineering and release standards.
Responsibilities
- Architecture & Technical Ownership
- Owns end-to-end technical design across Snowflake, dbt, ADF, and Azure components
- Acts as the final technical decision authority within the team
- Ensures alignment with enterprise architecture and data governance standards
- Maintains architecture documentation and diagrams ________________________________________ Engineering Excellence
- Defines and enforces coding standards and best practices
- Reviews critical PRs and ensures maintainability and scalability
- Drives performance optimization and cost efficiency
- Continuously improves development efficiency by reducing technical complexity and removing bottlenecks ________________________________________ CI/CD & Release Ownership
- Owns and improves CI/CD pipelines and deployment processes
- Defines and enforces the release process, ensuring it is standardized and consistently followed
- Establishes release criteria based on Definition of Done, testing, and required approvals
- Ensures all changes meet release criteria before deployment to production
- Oversees and coordinates production releases, including validation of readiness and risk assessment
- Has authority to block releases that do not meet defined quality and governance standards
- Ensures pipelines enforce quality gates (tests, validations, approvals where required)
- Continuously improves release safety and reduces production incidents ________________________________________ Quality & Definition of Done
- Ensures adherence to Definition of Done (including testing and documentation)
- Works with QA and team to ensure test coverage aligns with acceptance criteria ________________________________________ Team Enablement & Mentoring
- Mentors engineers and supports technical growth
- Leads knowledge sharing and supports complex problem-solving ________________________________________ Planning & Delivery Support
- Contributes to sprint planning with technical estimates, risks, and dependencies
- Owns identification and prioritization of technical debt in collaboration with the Product Owner ________________________________________ Production Ownership
- Leads incident analysis and root cause resolution
- Ensures monitoring, alerting, and data quality validation mechanisms are in place across pipelines and in production
- Maintains runbooks for operational readiness ________________________________________ Ways of Working
- Collaborates closely with Product Owner and Scrum Master to align technical delivery with business priorities; supports team continuity and helps facilitate meetings when the Scrum Master is absent
- Proactively works with upstream data source teams and other squads to resolve cross-team dependencies, data issues, and production bugs
- Drives technical alignment across teams/squads where shared data models, pipelines, or integrations are involved
- Acts as the primary technical point of contact for external teams and stakeholders
SKILLS
Must have
- 7+ experience in Data Engineering and development of DWH solutions Hands-on experience with Snowflake, dbt, Azure Data Factory Experience with Azure Cloud Solutions, Azure DevOps Practical experience and understanding of CI/CD processes Experience of technical leadership in Agile SDLC
Nice to have
Experience with AWS and/or GCP cloud solutions Certifications related to DWH
