Lead Data Engineer

About the role

Provides continuous build-up and operationalization of an enterprise-class modern data environment, which may include various components within the Azure, Hadoop, SQL server, and Informatica stack. Works with technologies encompassed within the cloud and on-prem data management technology stack while also having knowledge and capabilities as a systems developer. Coordinates, designs, builds, and integrates complex application technology solutions, aligned to architectural standards and definitions and ensures IT services are delivered effectively and efficiently.

Responsibilities

• Development, operation and support of modern data environments such as new concepts, practices, and approaches
• Design, build, deploy and maintain data pipelines using modern data tools on batch and streaming data in relational and non-relational databases in cloud and on-prem
• Collaborate with different teams on infrastructure setup, testing, monitoring, tuning/optimizing, troubleshooting and maintenance
• Collaborate with development and strategy teams on component and software vendor services in the cloud and on-prem, recommendation, installation and management of cloud-native and on-prem jobs
• Collaborate with the data teams in technical investigations, development, and prototypes and corporate IT function around integrating data management ecosystem(s) with critical enterprise systems
• Develop and manage data management testing activities and create roadmaps for ongoing data management technology and growth
• Perform capacity monitoring and capacity planning on infrastructure and cloud resources
• Manage activities through the implementation and maintenance of security and governance components across various data protocols
• Participate in the design and implementation of a disaster recovery strategy for modern data components and the alignment activities with pertinent audit and compliance activities
• Provide input and develop new processes and standards in support of the organization's business/functional short-term strategies
• Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration
• Support existing data pipelines on-prem, cloud and business engineering extract
• Provide technical support to meet application service level agreements

Requirements

• Minimum - 4 Year Bachelors Degree in Computer Science or Related
• Minimum - 5 Years Data warehouse, data lake, cloud technology or related
• In Lieu of Education: 8 Years Data warehouse, data lake, cloud technology

Benefits

• Annual performance bonus
• Work from home up to 3 days a week
• Paid parental leave
• Employee discount programs
• Time off including paid personal and sick days
• 11 paid holidays
• Education reimbursement

Pay

Typical hiring range: $106,500.00 to $182,600.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.