
Software Engineer Data Architect
1 day ago
About role :
We're seeking a skilled Manager/Senior Manager of Data & Cloud Platform Operations to lead our teams and promote architectural excellence. This key role involves driving the strategy and execution of Data Engineering on the Cloud. An ideal candidate would have 7-12 years of experience in IT consulting focused on AI & Analytics on Microsoft Azure.
Responsibilities
- Lead and manage teams responsible for design, development, and operational excellence of scalable data pipelines and data warehouses.
- Drive the maturity and adoption of advanced DevOps practices, including CI/CD, Infrastructure as Code (IaC), automation, comprehensive monitoring, and Site Reliability Engineering (SRE) for all cloud services.
- Establish and enforce stringent Security and Compliance standards across all cloud infrastructure, data operations, and applications, ensuring adherence to industry regulations and best practices.
- Oversee the strategic planning, deployment, and lifecycle management of Azure Infrastructure, optimizing for performance, cost, resilience, and high availability.
- Collaborate closely with software engineering and data science teams to ensure seamless integration and operational readiness of AI & Analytics solutions.
- Mentor, coach, and develop a high-performing team of DevOps engineers, data engineers, and cloud architects.
Qualifications
- Bachelor's or Master's degree in Computer Science, or a related field.
- 8-12 years of experience in IT operations, data engineering, or cloud infrastructure roles, with at least 3-5 years in a Manager/Architect role.
- Extensive hands-on experience with Microsoft Azure services, including IaaS, PaaS, networking, security, and data services.
- Proven expertise in designing and managing Data Engineering Pipelines and Data Warehouses, with strong practical experience using PySpark and Kafka.
- Proven ability to design High-Level Architecture and create Low-Level System Designs
- Deep understanding and practical experience with DevOps methodologies and tools (e.g., Azure DevOps, Terraform, Ansible, Kubernetes).
- Strong knowledge of Security and Compliance frameworks (e.g., ISO 27001, GDPR, HIPAA) and their implementation in cloud environments.
- Demonstrable experience in leading platform Scaling and Cloud Cost Optimization initiatives.
- Advanced proficiency in SQL and Python for operational and data engineering tasks.
- Azure certifications (e.g., Azure Solutions Architect Expert) are highly desirable.
- Exceptional analytical, problem-solving, and communication skills.
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