Full Time Architect

Role - Snowflake Architect
Location - Minnesota and Dallas (ONSITE)

Experience - 10+

Type - Full Time

Job Description

Snowflake Architect
Data Lake Architecture and Experience:

Guide team to migrate from on Prem Cloudera to Azure cloud environment.
Designed and implemented scalable data lake solutions using Snowflake and Databricks, Developed and optimized data pipelines for ingestion, transformation, and storage.
Managed data governance, quality, and security across cloud environments and Implemented performance tuning, automation, and CI/CD for data workflows.
Collaborated with cross-functional teams to support cloud migration activities
Cloudera Cluster Management:
~ Install, configure, manage, and monitor Cloudera Hadoop clusters, ensuring high availability, performance, and security. This includes managing HDFS, YARN, and other ecosystem components.

Performance Optimization:
~ Tune Hadoop, Hive, and Spark jobs and configurations for optimal performance, efficiency, and resource utilization. This includes optimizing queries, managing partitions, and leveraging in-memory capabilities.

Troubleshooting and Support:
~ Diagnose and resolve issues related to Linux servers, networks, cluster health, job failures, and performance bottlenecks. Provide on-call support and collaborate with other teams to ensure smooth operations.

Security, Governance, and Secrets Management:
Implement and manage security measures within the Cloudera environment, including Kerberos, Apache Ranger, and Atlas, to ensure data governance and compliance.
Setup and manage Hashi Corp Vault for secure keys and secrets management.
Utilize CyberArk for privileged access management and secure administrative tasks on the cluster.
Data and Application Migration:
Migrate Hadoop, Hive, and Spark data and applications to Azure cloud services such as Azure Synapse Analytics, Azure Databricks, or Snowflake. Ensure data integrity, performance tuning, and validation.
Automation and Scripting: Develop scripts (e.g., shell, Ansible, Python) for automating administrative tasks, deployments, and monitoring. Work with users to develop, debug, optimize Hive/Spark/Python programs that connect to the Cloudera environment.
Documentation:
~ Create and maintain documentation for system configurations, operational procedures, and troubleshooting knowledge bases.

Vendor Collaboration:
~ Work closely with the Cloudera vendor to stay current with the latest releases, perform upgrades, and address vulnerabilities.