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Job Description
Structured overview of role & requirementsAbout This Role
Lead technical architecture and oversee the design of scalable, high-performance data processing solutions using Azure and Databricks platforms.
Provide hands-on development including coding, code reviews, and implementation of data pipelines, transformations, and ML workflows leveraging Apache Spark, Delta Lake, and Airflow.
Manage and mentor engineering teams, conduct performance reviews, and drive engineering best practices including CI/CD and DevOps in a multi-disciplinary data environment.
Minimum Requirements
10+ years of strong software development experience.
Proven expertise with Azure data platforms including Databricks, Azure Data Lake, Azure Synapse, and Azure Functions.
Experience with Apache Spark, Delta Lake, workflow orchestration tools (e.g., Apache Airflow), containerisation (Docker, Kubernetes), and infrastructure as code (Terraform, Bicep).
Proven line management experience with mentoring, career development, and performance management of engineers.
Ideal Candidate Profile
Experienced in bridging software engineering, data engineering, and data science, ensuring seamless technical integration across teams.
Familiar with agile environments and modern software architecture including microservices and event-driven systems.
Capable of translating business needs into technical designs and influencing technical direction while maintaining governance, security, and compliance standards.