Technical Lead - Data Analytics & Cloud

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-efficient 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).

Skills

Data Engineering, Google Cloud Platform, BigQuery, Python, Apache Airflow, Data Modeling, Snowflake DB