
Senior Data Platform Architectural Specialist
7 days ago
We are seeking a highly skilled Data Platform Engineer to join our team. As a key member of our data engineering group, you will be responsible for designing and building automation, monitoring, and instrumentation tools to reduce operational friction.
Your primary objective will be to mentor and enable product engineering teams in software delivery within data in an agile environment. You will provide leadership to engineering teams by defining and driving standards, utilizing data and related technologies.
Key responsibilities include:
- Designing and building automation, monitoring, and instrumentation tools to reduce operational friction;
- Mentoring and enabling product engineering teams in software delivery within data in an agile environment;
- Providing leadership to engineering teams by defining and driving standards, utilizing data and related technologies;
- Developing and supporting Platform capabilities and accelerators (blueprints);
- 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);
- Influencing and building vision with product managers, team members, customers, and other engineering teams to solve complex problems for building enterprise class business applications;
- Holding accountability for the quality, usability, and performance of the platform solutions;
- Building capabilities to implement advanced monitoring & recommendations to enable teams to actively manage their cloud resources & costs;
- Collaborating with the Platform & Data Architects to ensure cohesive integration between systems and data models;
- Playing an active role in Communities of Practice including capturing and sharing best practices to improve processes within and across teams;
- Building, deploying, and maintaining a multi-region, multi-provider data platform emphasizing security and resiliency;
- Developing and maintaining solution & services to support our data-driven analytics framework;
Our ideal candidate will have:
- 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;
Additionally, you should possess strong communication and leadership & collaboration skills, with experience measuring, monitoring, and improving platform performance.
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