Job Overview :

We are looking for a hands-on Technical Lead Data Analytics &

- Cloud with 6 - 9 years of experience to join our team in Navi Mumbai (with potential short-term travel to London, UK).

In this full-time, on-site leadership role, you will define platform architecture, lead the design and implementation of multi-cloud solutions across GCP and Azure, and guide engineering squads to deliver scalable, secure, and cost-productive data analytics platforms for global enterprise clients.

Key Responsibilities :

- Solution Design &
- Discovery Ownership : Collaborate with Senior Solution Architects and CTOs to select optimal cloud technologies, lead discovery gap analyses, and present architectural blueprints to client Enterprise Architects.
- Cloud &
- Data Engineering Leadership : Provide hands-on technical direction across distributed data processing, real-time/batch ingestion pipelines, dimensional data modeling, and cloud security governance.
- Technical Delivery &
- Execution : Roll up your sleeves to anchor the technical build, guide core development teams on modern cloud data stacks, and ensure end-to-end quality control and delivery timelines.
- Team Mentorship &
- Stakeholder Management : Mentor technical cohorts,



support Project Managers with effort estimations and risk analysis, and communicate project progress clearly to both engineering teams and CxO-level stakeholders.

Required Skills &

Qualifications :

- 6 - 9 years of enterprise data engineering experience with deep expertise in Google Cloud Platform (GCP), BigQuery, Snowflake, and multi-cloud environments (Azure SQL DW).
- Proven implementation mastery of Cloud Data Warehouse and Data Lake architectures, alongside data ingestion and orchestration tools like Python, Apache Airflow, and Azure Data Pipelines (non-legacy Big Data focus).
- Strong command over data modeling principles for structured, semi-structured, and unstructured datasets, including stream, API, file, and microservice-based ingestion patterns.
- Hands-on familiarity with DataOps and DevOps practices (Git, Docker, security compliance frameworks like GDPR) and prior experience consulting with UK or US enterprise clients.
- B.E. / B.Tech or equivalent undergraduate degree in Computer Science, Information Technology, or a related engineering discipline (GCP Professional Cloud Architect or Data Engineer certifications are a strong plus).

📌 NxtWave - Technical Lead - Data & Cloud (India)
🏢 NxtWave Disruptive Technologies Private
📍 India