Technical Lead
# Technical Lead **Bria Homes, Inc** · Taguig · `On-site` 🕒 **Статус:** *Опубликовано: 12 дней назад* · *Источник: Indeed* --- ### About the Role - Key Responsibilities - Own technical design for ETL/ELT pipelines and DBT models; review PRs; enforce standards for performance, reliability, and security. - Lead ADO→GitHub migration and CI/CD hardening; implement pipeline observability and error‑budget practices tied to SLIs/SLOs. - Define DoD for 'Ready for QA' (tests, data validation, lineage docs); drive FPQ > 90% and MTTR ≤ 1 day for defects inside the sprint. - Coach engineers and coordinate with DataOps/Platform for environments, secrets, and least‑privilege access. - Partner with BA on acceptance criteria and with Scrum Master on sprint predictability and spillover management. - Represent the pod in stakeholder reviews, incident post‑mortems, and quarterly health assessments. SLIs/SLOs & Observability - Real‑time dashboards: pipeline execution status, data quality scores, SLO performance vs targets, error budget consumption. - Alerting thresholds (P1–P4) with defined response times and escalation paths. Qualifications: - 8+ years in data engineering; expert in SQL Server, SSIS, SSRS, Python, DBT; working knowledge of Fivetran and Tableau. - Proven track record leading pods/teams to managed‑service outcomes (throughput, cycle time, predictability) with strong DoD and quality gates. - Experience implementing observability (dashboards/alerts/runbooks) and data quality SLIs/SLOs. Tools & Stack (Pod) Data: SQL Server, SSIS, DBT, Python, Fivetran BI/Reporting: Tableau, SSRS DevOps/Workflow: Azure DevOps (ADO), GitHub (migration/hardening) Governance: Collibra (lineage/catalog), Apigee/OutSystems (where applicable) Work Schedule & Collaboration Coverage with US‑hour overlap; able to support releases and critical incidents within agreed SLA windows. Pay: Php180,000.00 - Php200,000.00 per month Benefits: - Additional leave - Company Christmas gift - Life insurance Education: - Bachelor's (Preferred) Experience: - Data Engineering: 5 years (Preferred) - SQL: 3 years (Preferred) - Python: 3 years (Preferred) - Leading a team: 2 years (Preferred) Work Location: In person
Наблюдалась 2026-10-06, впервые 2026-09-24, источник — Indeed.