Senior Engineering Manager - Data Platform

Ovii's Interpretation of the Role

We need a senior engineering leader to own and evolve Atlan's AI‑ready data platform, delivering high‑scale ingestion, storage, and search primitives. The role blends deep distributed‑systems expertise with hands‑on team building and operational excellence.

Role Snapshot

• Lead data platform engineering
• Own core ingestion, storage, and search primitives
• Drive reliability, SLOs, and 99.99% availability
• Mentor engineers and managers
• Shape AI‑ready context layer
• Scale high‑performance distributed systems

Must-Have Requirements

• Distributed systems design
• Cloud‑native architecture
• High‑availability platform engineering
• Team leadership & people management
• building data platform primitives at scale
• leading engineering teams

Nice-to-Have Signals

• AI‑native platform curiosity
• Experience with data catalog or metadata platforms
• Familiarity with vector databases

Work Setup

• Location: India
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: India
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Travel requirements
• Shift requirements
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design and evolve an AI‑ready context store across structured, unstructured, vector, and graph data
• Deliver high‑scale ingestion, validation, and contract‑driven routing frameworks
• Build and operate multi‑tenant storage and serving layers with noisy‑neighbor isolation
• Implement search APIs that meet sub‑second P95 response times
• Maintain platform availability at 99.99% and define SLOs
• Lead architecture reviews, unblock critical issues, and guide distributed‑systems trade‑offs
• Build, mentor, and scale engineering teams, including managers
• Define engineering metrics, on‑call practices, and incident response processes

Good Fit If You Have

• Curiosity about AI‑assisted development workflows
• Experience building data catalog, governance, or quality platforms
• Background in SaaS data platform environments
• Comfort operating in ambiguous, fast‑moving contexts