Engineering Manager, Data Platform

Jobtailor; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Jobtailor in Bengaluru is seeking an experienced data platform leader to steer a 5+ data engineers and own the enterprise-scale data sharing and semantic modeling roadmap. You will drive architecture decisions and guide the team through complex challenges, including data mesh patterns and platform reliability.

You will own operational posture, monitoring, incident response, and governance, while collaborating with product managers and architects to deliver a robust data platform.

Qualifications

• 8+ years in data or software engineering with 2+ years leading teams of 5+.
• Proven design experience for enterprise-wide data systems, semantic layering, and data sharing.
• Hands-on dbt and semantic modeling, scalable production models.
• Strong Snowflake and SQL skills.
• Experience with Cursor, Claude CLI, Kibana, and Airflow.
• On-call, incident management, and operational metrics.
• CI/CD practices and data observability tools.
• Strong written and verbal communication.

Responsibilities

• Lead a 5+ person data engineering team and drive growth.
• Shape platform architecture with focus on data sharing and semantic layer.
• Guide semantic modeling, data mesh patterns, and platform reliability.
• Improve query performance and overall platform efficiency.
• Collaborate with product managers and architects on roadmap.
• Own platform operations: monitoring, alerting, incidents.
• Define engineering best practices and data governance standards.

Skills

Leadership

Semantic Layering

Data Sharing

dbt

Snowflake

SQL

Airflow

Data Observability

On-call Management

CI/CD

Communication

Tools

Cursor

Claude CLI

Kibana

Airflow

DataDog

MonteCarlo

Job description

Responsibilities

• Manage and grow a team of 5+ data engineers.
• Drive architectural decisions across the platform, with particular depth in Data Sharing and Semantic Layer design.
• Guide the team through complex technical challenges, including Semantic Modeling, data mesh patterns, and platform reliability.
• Lead efforts to improve query performance and platform efficiency.
• Collaborate with product managers and architects to define and deliver the data platform roadmap.
• Own the operational posture of the platform — monitoring, alerting, incident response.
• Define engineering best practices and champion shift-left data governance, including data quality, lineage, and access control.

Requirements

• 8+ years in data or software engineering, with 2+ years managing engineering teams of 5 or more.
• Proven experience designing complex data systems, with specific expertise in Semantic Layering and Data Sharing at enterprise scale.
• Deep, hands‑on experience with dbt and semantic models (eg MetricFlow) — including designing and scaling semantic models in production.
• Strong proficiency with Snowflake and SQL.
• Hands‑on experience with technologies such as Cursor, Claude CLI/Code, Kibana, and Airflow.
• Experience owning on‑call processes, managing incidents, and defining operational metrics that drive team accountability.
• Solid command of CI/CD practices (e.g., GitHub Actions) and data observability tooling such as DataDog or Monte Carló.
• Strong written and verbal communication skills.

Core Competencies

Demonstrates expertise in managing data engineering teams and driving architectural decisions, with a strong focus on Semantic Layer design and Data Sharing. Proficient in operational management, including monitoring, incident response, and data governance best practices.