Technical Delivery Lead- Data Engineering

About Us:

Narwal, with its Global Delivery Model, strategically expands its reach across North America, the United Kingdom, and an offshore development centre in India. Delivery cutting edge AI, Data, and Quality Engineering solutions and consistently surpassing expectations. Narwal has achieved remarkable triple-digit growth rates year after year, earning accolades such as Inc. 5000, Best IT Services Company, Best Data Technology Company, and Partner of the Year with Tricentis.

Our Vision: To be an expert in AI, Data, and Quality Engineering transformations, bold in our thinking and authentic in our relationships.

Role: Technical Delivery Lead- Data Engineering

Experience : 13-20Yrs

Work Location- Pune ( Hybrid)

Notice Period : Immediate to 30 Days

Job Description: Technical Delivery Lead Data Engineering

Position Summary

We are seeking an experienced Technical Delivery Lead Data Engineering to lead the design, implementation, and delivery of enterprise-scale data engineering solutions. This role combines strong technical expertise with delivery leadership, requiring the ability to manage a team of 1015 Data Engineers while remaining hands-on with data architecture, solution design, and implementation.

The ideal candidate is an experienced leader who can bridge business and technology, drive Agile delivery, engage with senior stakeholders, and ensure the successful execution of complex data engineering programs.

Key Responsibilities

Technical Leadership

• Lead the end-to-end delivery of enterprise data engineering projects.
• Design scalable, secure, and high-performance data architectures.
• Provide technical guidance and hands-on support to engineering teams.
• Review architecture, code, and implementation approaches to ensure quality and best practices.
• Drive adoption of modern data engineering patterns and cloud-native architectures.

Team Management

• Lead and mentor a team of 1015 Data Engineers.
• Allocate work across the team and manage delivery capacity.
• Coach engineers through design reviews, code reviews, and technical problem-solving.
• Foster a collaborative, high-performance engineering culture.

Delivery Management

• Own project delivery, ensuring milestones are achieved on time and within scope.
• Manage risks, dependencies, issues, and change requests.
• Coordinate with Product Owners, Architects, QA, DevOps, and business stakeholders.
• Ensure delivery quality through governance, standards, and continuous improvement.
• Ensure communication plan is executed - Status updates, WSR, MSR

Agile Leadership

• Lead Agile Scrum ceremonies, including sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.
• Partner with Product Owners to prioritize work and manage sprint commitments.
• Track sprint progress using Agile metrics such as velocity, burn-down charts, and predictability.

Stakeholder Management

• Provide regular executive status updates to senior management.
• Present project health, delivery metrics, risks, and mitigation plans.
• Build strong relationships with business stakeholders and cross-functional teams.
• Communicate technical concepts clearly to both technical and non-technical audiences.

Required Technical Skills

Data Engineering

• Data Warehousing
• Data Lake/Lakehouse architectures
• ETL/ELT design and implementation
• Batch and streaming data pipelines
• Data modeling (dimensional and normalized)
• Data quality and governance principles

Cloud Platforms (one or more)

• AWS
• Azure
• Google Cloud Platform (GCP)

Modern Data Technologies

• Snowflake
• Databricks
• Apache Spark
• Apache Kafka
• Delta Lake
• dbt

Programming

• Python
• SQL
• Scala or Java (preferred)

Data Integration

• Azure Data Factory
• Informatica
• Apache Airflow
• Talend
• Fivetran (preferred)

DevOps

• Git
• CI/CD pipelines
• Infrastructure as Code (Terraform preferred)
• Docker
• Kubernetes (preferred)

Leadership Skills

• Proven experience leading teams of 1015 engineers
• Strong people management and mentoring skills
• Excellent planning and estimation capabilities
• Strong analytical and problem-solving skills
• Ability to influence without direct authority
• Exceptional written and verbal communication skills
• Executive-level presentation and reporting skills

Required Experience

• 12+ years of overall IT experience
• 5+ years leading Data Engineering teams
• Experience delivering enterprise-scale cloud data platforms
• Hands-on experience with modern data architecture and implementation
• Experience managing Agile Scrum delivery teams
• Experience reporting project status and risks to senior leadership
• Experience working with geographically distributed teams

Preferred Qualifications

• Experience in Financial Services, Payments, Banking, or Insurance
• Experience with AI/ML data platforms and analytics
• Knowledge of Data Mesh, Data Fabric, and Semantic Layer concepts
• Familiarity with data governance and regulatory requirements
• Cloud certifications (AWS, Azure, or GCP)
• Scrum Master or SAFe certification

Success Metrics

• On-time and high-quality delivery
• Sprint predictability and velocity
• Production stability and defect reduction
• Team engagement and retention
• Stakeholder satisfaction
• Platform scalability and performance
• Successful adoption of engineering best practices