
Senior Data Platform Developer
2 days ago
As a Senior Data Platform Engineer, you will be responsible for designing and building automation, monitoring, and instrumentation tools to reduce operational friction. You will also mentor and enable product engineering teams in software delivery within data in an agile environment.
The role requires leadership skills to define and drive standards utilizing data and related technologies. You will develop and support platform capabilities and accelerators, including Azure application design, development, and support. Additionally, you will be responsible for transferring the development flow to the CI/CD pipeline and influencing vision with product managers and team members to solve complex problems for building enterprise-class business applications.
You will hold accountability for the quality, usability, and performance of the platform solutions. This includes building capabilities to implement advanced monitoring & recommendations to enable teams to actively manage their cloud resources & costs. You will collaborate with Platform & Data Architects to ensure cohesive integration between systems and data models.
Key Responsibilities:
- Filling the role of a data platform engineer to design and build automation, monitoring, and instrumentation tools to reduce operational friction.
- Provides leadership to engineering teams by defining and driving standards, utilizing data and related technologies.
- Hands-on Azure application design, development, and support (fault-tolerant, disaster recovery, IaaC, etc.).
- Ability to transfer the development flow to the CI / CD pipeline, which may include complex logic (rollbacks, manual steps, triggering other jobs, services, notifications, observability).
Required Skills and Qualifications:
- Bachelors degree in Computer Science.
- 5+ years of experience in Cloud DevOps Concepts, Cloud Services and Architecture, and Azure DevOps Operational Framework.
- 3+ years of experience in designing and building solutions for data security (implementing security measures using Azure Key Vault and encryption techniques), data engineering, data quality and observability, metadata management, data lineage, and data discovery.
- Advanced knowledge of SQL, Python & shell scripting (like Azure CLI). Experience with Databricks is a must.
- Deep understanding of core Azure capabilities (APIM, Vnet, etc.)
- Working experience with DevOps and MLOps paradigms.
- Experience with test-driven development & CI/CDs.
- Understanding of data quality & governance principles.
- Strong communication and leadership & collaboration skills.
- Experience measuring, monitoring, and improving platform performance
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