Key skills
Data WarehousingData ModelingData IntegrationETL DevelopmentELT DevelopmentDistributed System ArchitectureCloud ComputingAmazon Web ServicesMicrosoft AzureGoogle Cloud PlatformStakeholder ManagementETLELTData EngineeringBusiness IntelligenceAWSAzureGCPGoogle CloudProduct Management
About this role
Lifetouch is a company that focuses on data solutions, and they are seeking a Sr. Manager of Data Engineering to manage and scale their data platform. The role involves overseeing a team of data engineers, collaborating with cross-functional teams, and evolving the architectural capabilities of the platform.
Responsibilities:
- Manage and scale the data platform to handle hundreds of Terabytes of processed data
- Manage and grow a team of high-performing full-time data engineers as well as an offshore team to deliver against business roadmaps
- Engage with a cross functional team of Product Managers, Program Managers, Data & Application Engineers to describe data integration Minimum Viable Product (MVP) including data quality objectives and deliver against the MVP
- Engage with the Operations team to outline system and data availability service level agreement (SLA) objectives and track performance against these objectives
- Collaborate with stakeholders to establish processes and intake requests
- Evolve the architectural capabilities and maturity of the platform by engaging with internal and external Architects and Strategic Partners
Requirements:
- Bachelor's degree or equivalent in Computer Science, Engineering, or a related field
- 7 years of progressive experience developing data warehousing solutions
- Seven years of experience in data modeling, integration, and data management
- Seven years of experience as technical lead, establishing processes to enable standardization and simplification in development best practices
- Five years of full life cycle experience in data integration and data warehousing
- Five years of experience with ETL (extract, transform, load)/ELT (extract, load, transform) development and architectural principles of data integration and data warehousing as applied to business intelligence
- Five years of experience with distributed system architecture, design, and development
- Five years of experience with data modeling and design considerations for analytical systems
- Four years of experience with Cloud Computing platforms, including Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)
- Four years of experience leading onsite and offshore teams towards delivering data solutions
- Experience working with product management, program management, engineering organizations, and analysts to deliver scalable data products
- Presenting tradeoffs to stakeholders while prioritizing initiatives