Technical Lead

• 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