Engineering Manager Data Engineering

HIRING | ENGINEERING MANAGER DATA ENGINEERING

Location: Pune, Maharashtra Work Mode: Hybrid Experience: 10 to 15+ Years

We are looking for an experienced Engineering Manager Data Engineering to lead cross-functional data engineering teams and drive the design, development, and delivery of enterprise-scale data platforms.

ROLE OVERVIEW

This is a 50-50 blend of technical leadership and delivery management. The ideal candidate will have deep expertise in modern data engineering, strong hands-on Databricks experience, proven people leadership, and the ability to manage multiple engineering squads and end-to-end delivery.

KEY RESPONSIBILITIES

Lead the design and implementation of enterprise-scale data platforms using Databricks. Define technical architecture, coding standards, engineering practices, and solution design. Drive adoption of Medallion Architecture, Delta Lake, Delta Live Tables (DLT), and modern data engineering patterns. Provide technical guidance on complex data engineering challenges and performance optimization. Lead 2+ squads with 20+ members and ensure delivery excellence. Own the complete delivery lifecycle from requirements gathering through production deployment and post-go-live support. Manage project planning, estimation, resource allocation, timelines, budgeting, and costing. Drive Agile sprint planning, milestone tracking, risk management, and continuous improvement. Lead, mentor, and develop Data Engineers and Technical Leads. Conduct performance reviews, career development discussions, hiring, and capability-building initiatives. Ensure platform reliability, production readiness, monitoring, observability, and incident resolution. Manage stakeholder expectations and communicate technical decisions, risks, and delivery status to senior leadership.

MUST-HAVE TECHNICAL SKILLS

Databricks Databricks Workspace Delta Lake Delta Live Tables (DLT) Unity Catalog Databricks Workflows Auto Loader Structured Streaming PySpark Spark SQL SQL Python ETL / ELT Medallion Architecture Batch & Streaming Data Pipelines Data Modeling Star Schema, Snowflake Schema, Data Vault Azure / AWS ADLS / S3 / GCS Git & CI/CD Azure DevOps / GitHub Terraform preferred

LEADERSHIP & DELIVERY

35+ years of engineering leadership experience Experience managing multiple squads / 20+ members Strong Agile delivery and project management Planning, estimation, budgeting, and costing Stakeholder and executive communication Risk management and conflict resolution Coaching, mentoring, and team development End-to-end delivery ownership Strong solution and design thinking

EXPERIENCE REQUIREMENTS

1015+ years of experience in Data Engineering or related roles 35+ years leading Data Engineering / Engineering teams Production-grade Databricks experience on Azure, AWS, or GCP Proven experience building enterprise-scale data platforms Strong solution architecture and data engineering background Experience with performance tuning, cost optimization, and production support

NICE TO HAVE

MLflow Databricks Asset Bundles (DABs) Apache Kafka / Azure Event Hubs AI/ML & Generative AI Data Mesh / Data Fabric Databricks Genie MongoDB / Cassandra Advanced monitoring & observability tools

PREFERRED CERTIFICATIONS

Databricks Certified Data Engineer Professional Azure Data Engineer Associate Azure Solutions Architect Expert AWS Certified Data Analytics Specialty