More jobs:
Technical Lead; Snowflake
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-06-02
Listing for:
Diverse Lynx
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
Job Details:
Job Title:
Technical Lead (Snowflake)
Location:
Minneapolis, MN/ Dallas , TX - onsite
Duration :
Fulltime
Salary Range: $1 2 0,000 - $1 3 0,000
Job Description:
- 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 Cyber Ark 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:
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