Senior IT Manager - Enterprise Data Platform
Description:
Leads a development team in designing, developing, testing, and deploying data ingest and data serving patterns
Provides career growth and timely feedback to the development team
Leads cloud architecture activities to create robust design and development patterns
Establishes and monitors best practices for data ingest, curation, and serving solutions in GCP
Optimizes designs and processes for faster time-to-market of new products
Advances and promotes enterprise data standards and metadata management
Modernizes and creates automation in processes and capabilities set
Ensures tracking of cost increases associated with cloud services
Partners with the Data Science team to ensure seamless data transfer
Requirements:
10+ years designing and building data ingestion, storage, and processing solutions
3+ years experience object-oriented programming
3+ years leading teams that deploy enterprise data and analytics solutions
3+ years architecting, developing, and deploying scalable enterprise data solutions in cloud platform
Broad cloud application and infrastructure architectural experience
Strong object-oriented programming experience using Python
Experience with data processing tools: Airflow, Apache Beam
Demonstrated expertise with infrastructure as code, preferably Terraform
Experience with CI/CD tools and processes, Git source code repositories, GitLab is a plus
Solid knowledge of cloud computing concepts like Virtual Private Cloud (VPC), DNS, CDN, Load Balancing and Auto Scaling
Benefits:
Medical, dental, vision, life and disability plans
Well-being incentives
Parental leave
Paid time off
Certain paid holidays
Tax saving accounts (FSA, HSA)
401(k) retirement benefit
Employee Stock Purchase Plan
Tuition assistance
Entertainment and retail discounts
Overtime pay eligibility
Apply Now
Leads a development team in designing, developing, testing, and deploying data ingest and data serving patterns
Provides career growth and timely feedback to the development team
Leads cloud architecture activities to create robust design and development patterns
Establishes and monitors best practices for data ingest, curation, and serving solutions in GCP
Optimizes designs and processes for faster time-to-market of new products
Advances and promotes enterprise data standards and metadata management
Modernizes and creates automation in processes and capabilities set
Ensures tracking of cost increases associated with cloud services
Partners with the Data Science team to ensure seamless data transfer
Requirements:
10+ years designing and building data ingestion, storage, and processing solutions
3+ years experience object-oriented programming
3+ years leading teams that deploy enterprise data and analytics solutions
3+ years architecting, developing, and deploying scalable enterprise data solutions in cloud platform
Broad cloud application and infrastructure architectural experience
Strong object-oriented programming experience using Python
Experience with data processing tools: Airflow, Apache Beam
Demonstrated expertise with infrastructure as code, preferably Terraform
Experience with CI/CD tools and processes, Git source code repositories, GitLab is a plus
Solid knowledge of cloud computing concepts like Virtual Private Cloud (VPC), DNS, CDN, Load Balancing and Auto Scaling
Benefits:
Medical, dental, vision, life and disability plans
Well-being incentives
Parental leave
Paid time off
Certain paid holidays
Tax saving accounts (FSA, HSA)
401(k) retirement benefit
Employee Stock Purchase Plan
Tuition assistance
Entertainment and retail discounts
Overtime pay eligibility
Apply Now