Data Architect

компания "arrival ltd" at arrival, our team is creating best-in-class electric vehicles using a radical new method of design and production. we work with some of the worldchr(39)s leading businesses and governments to achieve our goal of redefining mobility and transport ecosystems, transforming how people and goods travel and enhancing urban environments for all communities. innovation, rapid development and testing help us to push the boundaries. our new method takes our portfolio of patented technologies created in-house, and combines it with assembly in arrival microfactories. it’s a groundbreaking approach, leading to products with maximum functionality, peak efficiency, and an elevated experience – at a much more competitive price than other electric vehicles, and even fossil fuel vehicles. data architect is a technical experienced specialist responsible for the definition, preparation, implementation, and maintenance of logical and physical data models focusing on data warehouse/data lake environments. the data architect is hands-on, performing data assessment and profiling, building models whether they are relational or dimensional, and then implementing appropriate data structures into the arrival platforms. this role serves as the connected vehicle platform team and ensures new business requirements are decomposed and implemented in a cohesive end-to-end design that enables data integrity and quality and best supports bi and analytic capability needs. the data architect partners with solution architects, team leads, quality assurance, product owners, software engineers, and others across teams to achieve project and business goals. responsibilities: perform data warehouse design leadership, identifying the fit for purpose solutions perform advanced level data modeling techniques and guide others in best practices perform advanced data analysis and data profiling and mentor others as needed create and maintain data catalog and metadata in order to support and communicate data assets to stakeholders develop and maintain specification documentation for data integration development diagnose and resolve complex issues throughout the data warehouse environment – security, data issues collaborate with software engineering and business teams to identify dependencies, data flows, assist with testing and overall cohesive of solutions in the environment spearhead the development of enterprise standards and guidelines for data modeling and promote across peer teams expertise: 5+ years of experience in a combination of data management and enterprise data warehouse data modeling architecture or analytics roles 5+ years of experience in data modeling, meta-data modeling, database design, schema design, and/or information architecture practices significant experience in data requirements gathering and facilitation of business data definitions experience leading others including engineers, team leads, and other colleagues involved in overall solution dependencies, workflow, and scheduling of data-dependent jobs demonstrated knowledge of data warehouse architectures and best practices strong knowledge of master data, data quality, and metadata management concepts and practices and the relation to data warehousing and business intelligence wechr(39)d love it if you have: appropriate industry certifications, including cdmp or cbip with a data management or data modeling specialization or similar. experience with related information management disciplines (e.g. data quality management, metadata management, data governance) experience with data engineering for data lakes and hadoop technologies experience with high volume data processing experience with telemetry data experience with data catalogs experience with agile