Senior Engineering Manager - Project Management (Databricks)

SENIOR ENGINEERING MANAGER - Project Management (Databricks):

Company: Happiest Minds Technologies Ltd.
Location: Bengaluru Only.
Experience: 12-18 Years

Hot Job Opportunity:

Happiest Minds is looking for a highly experienced Senior Engineering Manager / Technical Program Manager with strong expertise in Databricks, Data Engineering, Program Management, and Engineering Delivery. The ideal candidate should have led large-scale data platform programs, managed cross-functional engineering teams, and successfully delivered enterprise data transformation initiatives on cloud platforms.

This role requires a blend of technical depth, delivery leadership, stakeholder management, governance, and people leadership to drive strategic programs across global teams.

Key Responsibilities:

Program & Delivery Leadership:

• Own end-to-end delivery of Databricks and Data Engineering programs.
• Define program roadmaps, milestones, dependencies, and release plans.
• Drive execution across multiple engineering teams and workstreams.
• Ensure projects are delivered on time, within scope, budget, and quality standards.
• Establish governance frameworks, delivery metrics, and executive reporting.

Technical Program Management:

• Partner with Architects, Engineering Managers, and Product teams to drive successful delivery.
• Translate business requirements into executable technical plans.
• Lead architecture reviews, technical discussions, and planning sessions.
• Manage risks, dependencies, escalations, and release readiness.
• Ensure adoption of engineering best practices and delivery excellence.

Data Engineering & Databricks Leadership:

• Lead enterprise-scale Data Engineering programs built on Databricks.

• Oversee implementation of:

• Databricks Workflows

• Delta Lake

• Data Lakes & Lakehouse Architecture

• Data Pipelines

• Batch & Streaming Solutions

• Data Governance Frameworks

• Drive optimization, scalability, security, and operational excellence.

Stakeholder Management:

• Collaborate with Business, Product, Architecture, Engineering, and Customer teams.
• Communicate program status, risks, and mitigation plans to leadership.
• Manage customer expectations and drive executive-level discussions.
• Influence decisions across teams without direct authority.

Team & Vendor Management:

• Lead distributed and offshore engineering teams.
• Manage vendors and external delivery partners.
• Drive accountability, productivity, and engineering excellence.
• Mentor Engineering Managers, Leads, and Delivery Teams.

Mandatory Skills (Must Have):

Project / Program Management

Databricks

Data Engineering

Apache Spark / PySpark

SQL

Cloud Platforms (Azure/AWS)

Engineering Delivery Management

Stakeholder Management

Agile / Scrum Methodologies

Risk Management & Governance

Delivery Management

Team Handling & Leadership

Data Lake / Delta Lake

Vendor Management

CI/CD & DevOps Practices

Playwright (Exposure to test automation, quality governance, and engineering best practices within large-scale delivery programs)

Preferred Skills:

• Azure Data Factory (ADF)
• Azure Synapse
• Kafka
• Data Warehousing
• Streaming Architecture
• DevOps & Automation
• Jira & Confluence
• SAFe Agile Framework
• Enterprise Architecture Exposure
• Test Automation Governance using Playwright/Selenium

Experience Required:

• 12+ years of IT experience with strong technical and delivery leadership.
• 5+ years managing large-scale engineering or data platform programs.
• Hands-on exposure to Databricks-based implementations.
• Proven success in managing enterprise transformation programs.
• Experience leading globally distributed teams and vendor ecosystems.
• Strong understanding of modern cloud-native data platforms.
• Excellent stakeholder management and executive communication skills.

Educational Qualification:

• Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related field.
• PMP, SAFe, Scrum Master, or Agile certifications will be an added advantage.

Why Join Happiest Minds?:

• Work on large-scale cloud and data modernization programs.
• Lead strategic Databricks transformation initiatives.
• Collaborate with senior technology leaders and global customers.
• Opportunity to influence architecture, engineering, and delivery excellence.
• Fast-growing, innovation-driven work environment.