Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end technical and architectural design of complex enterprise data solutions ensuring alignment with business objectives and enterprise standards.
Define scalable, secure, and cost-effective solution architectures focusing on Azure Databricks, Apache Spark, data lakes, and data processing pipelines.
Provide architectural governance, guide delivery teams through design and implementation, and drive adoption of enterprise architecture standards.
Minimum Requirements
12-16 years of experience in solution architecture, system design, and enterprise scale delivery.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
Strong expertise in Azure Databricks, Apache Spark (PySpark), Delta Lake, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, and Synapse Analytics.
Experience with DevOps and CI/CD tooling such as Azure Pipelines, GitHub Actions, Terraform or similar.
Ideal Candidate Profile
Experienced in designing large-scale data platforms and Lakehouse architectures with strong focus on data governance, security, and cloud cost optimization.
Proven leadership and communication skills to influence architectural decisions across teams and stakeholders.
Demonstrated ability to drive DevOps, automated deployment practices, and maintain high performance, scalability, and reliability in enterprise solutions.