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.
Position – how you'll contribute:Develop and maintain data architecture strategyOwn data warehouse – the backend of our B2B SaaS platformWork directly with customers on data ingest and reporting requirementsManage the process of data ingestion into data warehouseEstablish an enterprise ETL technical architecture for ingestion of all third party and customer data feedsPerform data cataloging analytics on source data including data provided by clients and determine business rules for data ingestionWrite requirements for and then implement ETL and data pipelines including exception-handling protocols and processesPerform continuous improvement of ETL processesBuild core datasetsImplement manual and automated data quality managementDefine and uphold SLAsBecome a subject matter expert in travel and expense dataCollaborate with Software Development, Data Scientists, Product Management, and Customer SuccessDemocratize compliant and secure access to data through self-serve channelsEstablish data governance policies and proceduresMonitor and troubleshoot data infrastructure issuesManage the planning, implementation and testing of Continuity of Business and Disaster Recovery for data warehouseProvide technical leadership and share knowledge, for instance, through code reviews, pairing, ADRs, and presentationsExpectations - the experience you need:5+ years of data architecture, data modeling, data warehousing concepts, methodologies, and best practicesExperience working directly with customersExperience scaling and re-architecting data platforms and infrastructure through orders of magnitude of growth and scaling data volumeExperience working on data infrastructure-focused engineering teams building a data lake or data warehouse from scratchExperience with state-of-the-art ETL tools, techniques and processesExperience with AWS and cloud-based data servicesFamiliarity with DBT or SQLMeshFamiliarity with several data warehousing platforms like Google Big Query, Snowflake, MemSQL (SQL Store), Apache Ignite, Redshift, Databricks0 to 1 startup experienceExceptional common sense and the ability to manage ambiguity
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