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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.