Principal Engineer

Principal Engineer - 100% RemoteAn industrial real estate supply chain platform we have one of the largest portfolios of industrial space in the US, with over 400 million square feet of high-quality, well-located industrial assets. We actively construct and manage our portfolio to benefit from the shift in consumer expectations for the rapid and direct delivery of goods and the related surge in demand for real estate that addresses the need for "last-mile" distribution. A critical component of our Company's growth is the build out of our financial and data analytics capabilities.Role SummaryAs Principal Engineer, your primary responsibilities will be to develop, optimize, and oversee our company's conceptual and logical data systems. You proactively engage stakeholders to understand internal and external needs, fulfilling requirements with a focus on improving data quality, accessibility and security. This may include demos, solution designs, implementation plans and proof of concepts.What you'll be doingCreate domain and database design, and architecture reports for management and executive teamsDevelop solutions to improve new and existing database systemsDesign and implement effective database solutions and models to store and retrieve company dataEnsure system performance via proactive design, monitoring, troubleshooting and development of new featuresMaintain technical skills and knowledge of market trends and competitive insights; collaborate and share with the technical communityBe an IT evangelist with customers, stakeholders, partners and communitiesMust be a player-coach, able to architect as well as mentor, lead and help developmentRequirements10+ years of success in data architecture, data warehousing and data governanceExperience with responsive data structures, ontologies, metadata capture strategyEvent-Driven architectural experience (as opposed to transactional)Experience with Transformative data modeling (preferably with Snowflake)Scalable distributed systems and databases (e.g. Snowflake, Databricks, Spark, Redshift, GBQ)Nice to Have'sFamiliarity with TOGAF (The Open Group Architectural Framework)Master Data Management in operations, analytics and governanceSoftware development practices like DevOps and CI/CD tool chains (i.e. Jenkins, Spinnaker, Azure DevOps, GitHub)Familiarity with modern analytics and metadata management tools (e.g. DBT, Looker)One or more of the following programming languages preferred: Python, Spark Scala, pyspark, SQLJ-18808-Ljbffr