Data Engineering Manager - Azure & Python

Data Engineering Manager - Azure & Python

Experience:

Salary:

Preferred Notice Period

Shift

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

Data Mesh, Data Engineering, Python, SQL, Kafka, Airflow, Hadoop, Spark

Nuaav (One of Uplers' Clients) is Looking for:

Role Overview Description

Job Title:

Location:

Company:

About Nuaav

Nuaav is a boutique consulting firm dedicated to being a strategic partner for corporate leaders. We deliver impactful business results through specialized, high-touch technology solutions designed for rapidly evolving environments. Our expertise spans product engineering, data systems, AI/ML, and UX, combining innovation, agility, and deep domain knowledge to empower clients with scalable, secure, and future-proof solutions. Join Nuaav to work in an innovative culture where technical excellence meets personalized client impact.

Role Overview

We're seeking an exceptional Engineering Manager to lead our data engineering team in architecting and scaling enterprise-grade data platforms. This is a high-impact role where you'll drive technical strategy, lead a team of 8-10 talented data engineers, and directly shape how our Fortune 500 clients unlock the value of their data at scale.

You'll work on sophisticated challenges spanning data mesh architectures, semantic layers, real-time data integration, and self-service analyticsall while building and mentoring a world-class engineering team.

Key Responsibilities

• Lead & Inspire

• Manage and grow a team of 8-10 data engineers, providing mentorship, career development, and technical guidance
• Foster a culture of engineering excellence, innovation, and continuous learning
• Build and retain top talent while establishing clear career paths and growth opportunities

• Architect & Execute

• Drive the design and implementation of modern data platforms using data lake and data mesh architectures
• Define data architecture strategies that align technical solutions with business objectives across multiple Fortune 500 clients
• Oversee the development of semantic layers, data models, and transformation workflows using tools like Dremio, dbt, and modern orchestration frameworks
• Make critical build-versus-buy decisions and evaluate emerging technologies to optimize cost and performance

• Deliver Excellence

• Establish engineering best practices including DataOps, CI/CD for data pipelines, and comprehensive code review processes
• Ensure data quality, security, governance, and compliance across all platforms and pipelines
• Lead the integration of 35+ data sources including Salesforce, enterprise systems, and compliance tools into unified data platforms
• Drive the adoption of self-service analytics capabilities and data democratization initiatives

• Collaborate & Influence

• Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into scalable technical solutions
• Communicate complex technical concepts clearly to non-technical executives and stakeholders
• Manage vendor relationships and cross-functional dependencies across multiple concurrent projects

What You Bring

Required Experience

• 8-10 years of progressive experience in data engineering with demonstrated technical depth
• 3+ years in people management or technical leadership roles with proven success building high-performing teams
• Hands-on experience architecting and implementing data lakes or data mesh architectures at enterprise scale, supporting multiple business units and complex use cases

Technical Expertise

• Cloud Data Platforms: Production experience with at least one of Snowflake, Databricks, Dremio, or Starburst.
• Data Pipeline Engineering: Proficiency with dbt, Airflow, or similar orchestration tools; strong understanding of ETL/ELT design patterns and best practices
• Distributed Computing: Experience with Apache Spark or similar frameworks
• Programming: Strong SQL skills and proficiency in Python, Scala, or Java
• Data Modeling: Deep knowledge of dimensional modeling, data vault, normalized schemas, and modern lakehouse patterns
• Governance & Security: Understanding of data governance frameworks, compliance requirements (GDPR, CCPA, etc.), and security best practices

Leadership Skills

• Proven track record of recruiting, developing, and retaining engineering talent
• Excellent communication skills with ability to influence stakeholders at all levels
• Experience managing multiple complex projects simultaneously in fast-paced, client-facing environments
• Strategic thinking combined with hands-on technical problem-solving abilities

This role offers an exciting opportunity to lead and scale mission-critical data infrastructure at Nuaav, a firm known for its boutique approach combining technical mastery with personalized client impact and agility in delivery. Candidates will thrive in a fast-paced, innovative setting with a clear path for growth and influence.

Why Join Nuaav?

• Opportunity to work in a strong AI driven consulting firm with direct client engagement and high-impact projects.
• Be part of a dynamic environment focused on innovation, agility, and quality over volume.
• Exposure to cutting-edge technologies across data engineering, AI, and product platforms.
• Work on global-scale digital transformation projects with close collaboration alongside senior consultants and corporate leaders.
• A culture that values personalized growth, client-centric excellence, and thought leadership.

Location

Noida / Hybrid

How to apply for this opportunity:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

Nuaav is a boutique technology consulting firm focused on delivering innovative, scalable, and secure data engineering and AI solutions.

About Uplers:

Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!