Nallas is a software services company that enhances business outcomes through advanced technology solutions, tailored engagement models, and flexible methodologies.

By blending technical expertise with in-depth domain knowledge, Nallas delivers impactful results for clients.

Through its global delivery platform, valueScope, Nallas supports clients in achieving faster time-to-market, better alignment between business needs and IT, and measurable outcomes in a collaborative and transparent environment.

Job Summary :

We are looking for a senior Head of Databricks to lead the design, implementation, and management of enterprise data platforms on Microsoft Azure.

This role will own the Databricks Lakehouse architecture, guide data engineering teams, and ensure reliable, scalable, and secure data solutions that support analytics, AI, and business reporting.

Key Responsibilities :

- Lead and own the Azure Databricks data platform across the organisation.

- Design and maintain Lakehouse architecture using Databricks, Delta Lake, and Unity Catalogue.

- Provide technical leadership and mentorship to data engineering teams.

- Build and manage batch and real-time data pipelines using Azure services.

- Ensure data quality, governance, performance, and security standards.

- Drive CI/CD, automation, and DevOps practices for Databricks workloads.

- Collaborate with business, analytics, AI, security, and infrastructure teams.

- Support solution design, technical reviews, and client discussions.

Required Skills & Experience :

- 1015 years of IT experience with strong data engineering background.

- 5+ years of hands-on experience with Azure Databricks and PySpark.

- Experience with Azure Data Factory, Azure Storage, Azure DevOps.

- Good understanding of data governance and cloud best practices.

- Experience leading and mentoring technical teams.