Our client provides global enterprises with a real-time Carbon Planning & Intelligence platform to power forward-looking emissions management, so they can close the gap between climate-related actions and intentions.
The right person for this role will be a highly, internally motivated, strong backend technical contributor with strong experience expertly balancing quality and time to market over short, medium, and long time horizons. It is important that you work fluidly through the whole lifecycle of delivering value and delight to our customers, from pain to medicine. How you prioritize and manage your focus is key. You have seen a wide range of problems and efficiently pattern match solutions, which you leverage to facilitate collaboration across both technical and non-technical audiences. Most of all, you’re interested in using your software engineering capabilities to make a foundational contribution to reversing climate change.
responsibilities :
Develop and maintain data architecture strategy
Own data warehouse – the backend of our B2B SaaS platform
Work directly with customers on data ingest and reporting requirements
Manage the process of data ingestion into data warehouse
Establish an enterprise ETL technical architecture for ingestion of all third party and customer data feeds
Perform data cataloging analytics on source data including data provided by clients and determine business rules for data ingestion
Write requirements for and then implement ETL and data pipelines including exception-handling protocols and processes
Perform continuous improvement of ETL processes
Build core datasets
Implement manual and automated data quality management
Define and uphold SLAs
Become a subject matter expert in travel and expense data
Collaborate with Software Development, Data Scientists, Product Management, and Customer Success
Democratize compliant and secure access to data through self-serve channels
Establish data governance policies and procedures
Monitor and troubleshoot data infrastructure issues
Manage the planning, implementation and testing of Continuity of Business and Disaster Recovery for data warehouse
Provide technical leadership and share knowledge, for instance, through code reviews, pairing, ADRs, and presentations
requirements-expected :
5+ years of data architecture, data modeling, data warehousing concepts, methodologies, and best practices
Experience working directly with customers
Experience scaling and re-architecting data platforms and infrastructure through orders of magnitude of growth and scaling data volume
Experience working on data infrastructure-focused engineering teams building a data lake or data warehouse from scratch
Experience with state-of-the-art ETL tools, techniques and processes
