Technical Lead Azure Databricks_3417
Allianz SE (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Implement, configure, and maintain production-grade data platforms using Databricks, Azure Synapse, and Microsoft Fabric for Operating Entities within Allianz Group.
- Build data integration pipelines (batch and streaming), platform security, governance, and automation including CI/CD and infrastructure-as-code to ensure high availability and operational resilience.
- Collaborate with internal stakeholders to translate business needs into reusable platform solutions, support AI/GenAI use cases, and mentor engineers to improve tooling and standards.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent technical discipline.
- 5+ years of hands-on experience in implementing or engineering data and analytics platforms, preferably within financial services or regulated industries.
- Strong expertise with Databricks (Delta Lake, Unity Catalogue, workflows), data integration tools (Azure Data Factory, Airflow), and programming in Python and SQL.
- Experience with CI/CD, infrastructure-as-code (Terraform, Bicep), and knowledge of platform security, governance, and data lifecycle management.
Ideal Candidate Profile
- Experienced platform or data engineer comfortable working with regulated financial services platforms and integration of complex data sources.
- Strong operational and architectural mindset with proven ability to deliver secure, governed, and observable data platforms in large enterprise contexts.
- Skilled in working cross-functionally with security, compliance, architecture, and business teams to enable platform adoption and evolving AI-related use cases.