12+ years of total industry experience designing and implementing data platforms and solutions.
Detailed knowledge of Data pipeline infrastructure from ingestion to storage to query and processing, various technologies involved along the way.
Knowledge of significant trends in the modern data space, technology choices along with their relative merits and de-merits.
Demonstrable hands-on experience with modern big data tools such as Spark, Kafka, Airflow, Hadoop and / or data warehousing tools such as Snowflake. Knowledge of equivalent offerings on public clouds such as Azure is required as well
Knowledge of the cloud native landscape including container registries, Automation, key management, security, networking, container runtimes, storage, service mesh, service discovery, CICD toolset in the context of Kubernetes.
Working experience with Infrastructure automation through IaC tools such as Terraform, Ansible, Chef, Puppet, ARM templates, Cloud Formation etc.
5+ years of experience with Python / PowerShell or equivalent software development background.
Experience with data migration and modernization from on-premises into Cloud.
Knowledge of data governance issues.
Knowledge of how MLOps is different from traditional DevOps and MLOps pipelines in detail. Working experience on large scale ML infrastructure and demonstrable experience in productionizing ML models.
Other General Mgmt Skills
We're seeking a high caliber Consulting Architect with experience in implementing cloud native solutions at scale. The ideal candidate will be responsible for working on green field and brown field engineering efforts that involve Kubernetes or similar container orchestration platforms. The candidate shall be customer facing and shall play very critical role in several aspects of the project delivery including Scope of Work, management of timelines, and delivery.