Engineering Manager - Data Platforms & Agentic AI Delivery

Datumlabs; Lahore; On-site; PKR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Paid time off

Bonuses

Certifications

Modern technologies

Job summary

Datum Labs is seeking a senior data engineering leader to own delivery quality for client data platforms, from ingestion to cloud infrastructure. You will stay hands-on in pipelines and PRs, raise the technical bar, and help scale the team.

You will mentor engineers and analysts, drive hiring, and manage client communications with rapid responses. The role emphasizes agentic AI delivery and shaping how we deliver, not just operating existing systems.

Qualifications

• 5+ years in data engineering or software engineering, with 2+ years leading or managing an engineering team.
• Hands-on experience building and shipping agentic AI systems.
• Still comfortable reviewing PRs and debugging pipeline/warehouse issues.
• Experience delivering client-facing data platforms under real deadlines (ingestion, transformation with dbt, orchestration with Dagster).
• Cloud infra and CI/CD experience is a strong plus (Kubernetes, Terraform, GitHub Actions).
• Excellent async, written communication in a distributed Slack-native team.

Responsibilities

• Own delivery quality and timelines on assigned client data platform teams; be hands-on when delivery is at risk.
• Run team rituals (standups, sprint planning, retros) and remove blockers.
• Mentor and grow data engineers and analysts; scale onboarding and performance management.
• Lead the technical hiring loop for data engineering and analytics roles.
• Communicate with clients on the data platform build; respond to client queries under 1 hour.

Skills

Data engineering

Team leadership

Agentic AI

PR review

Cloud infra

Communication

Tools

dbt

Dagster

Kubernetes

Terraform

GitHub Actions

Job description

Datum Labs is seeking a senior data engineering leader to own delivery quality for client data platforms, from ingestion to cloud infrastructure. You will stay hands-on in pipelines and PRs, raise the technical bar, and help scale the team.

You will mentor engineers and analysts, drive hiring, and manage client communications with rapid responses. The role emphasizes agentic AI delivery and shaping how we deliver, not just operating existing systems.