Data Architect

What success looks like in this role: Work with business leads and systems implementation partners to define database/data warehousing requirements and data interfacesConduct data model reviews with project team members/business subject matter expertsWorking with our other architects and engineering leads to build data security, management and engineering excellence into all our solutions.Consulting with internal teams and client stakeholders on proposed solutions and how they’ll be developed/deployed and used.Leveraging automation in every part of a solution to accelerate and optimize all out solutions.Work with internal resource and system implementation partners to design Datawarehouse and DataMart structuresIdentify data requirements and related KPIs, metrics, etc.; perform and document data source gap analysisParticipate and drive proof-of-concept or prototyping of data systems and data solutionsYou will participate in architectural reviews, ensuring the best patterns are in place, while early identify upstream and downstream side effectsThis will be heavily working with stakeholders and data modelling work with less of a focus on the enterprise or infrastructure architectureYou will create documents that ensure consistency in development across the organizationThey will be working with the key stakeholders to understand the data flows within the organization and the stakeholders needsManage data management workstreamAssessing the logical and physical data models required to deliver thisEnabling the build of a greenfield data warehouse which sits on top of their existing data lake and allows the teams to deliver effective analyticsYou will facilitate conceptual discussions to meet business objectivesYou will define usage patterns and anti-patterns for data systems, processing, modelling, and storage technologiesYou will bring a holistic brand and enterprise view into new data system design.Works within and across practices and organizations to design leading-edge technology or application solutions that result in profitable revenue growth for Unisys.Conceptualizes, architects, designs, implements and supports integrated solutions for client engagements.Demonstrates extensive knowledge of industry, technology and strategy trends and uses this knowledge to generate profitable revenue growth for Unisys.Builds relationships with product development organizations and is recognized by these organizations as a key product champion who adds value through exposure to client situations.Advises, analyses, researches, designs, installs and implements complex integrated solutions for an entire enterprise. Interfaces extensively with the client’s senior management team (e.g., the IT Directors) on business, systems architectural, and technical issues. Provides mentoring and team leadership to other architects.Develops the integrated technology requirements project plan.Integrates complex solutions into new or existing client environments.Uses advanced diagnostic analytical and design capabilities.Ensures that the best solution is provided to the customer (e.g., completes solution integrity engineering and development attributes.)You will be successful in this role if you have:University degree or equivalent experience and a minimum of 10 years of experience in a broad range of data sources including SQL and NOSQLData Architect experience (5+ years)Experience in one or more related cloud platform technology areas that interests you, for example: SQL Server, Data Lake Storage, Data Movement/Transformation e.g. Azure Data Factory/AWS Glue, Data Analytics e.g. Databricks/Synapse/BigQuery, Data Cataloguing, Data Quality, Data Lineage, Data Governance, Data Mesh/Lakehouse, Master Data Management etc.Some knowledge of common industry tooling covering areas such as ingestion, streaming, storage, visualisation etc.Experience with hands-on implementation on cloud platforms including at least one of: Microsoft Azure, Amazon Web Services, Google CloudExperience in architecting and designing the migration of data from one data source to another in which the data sources are not of same type such as Mainframe to Modern Databases such as OracleDesign experience on Data Vault, Data Lake and Mart technologies in CloudExperience using advanced SQL functions and query performance tuningExperience of design within a data science environment (AWS S3/ Jupyter notebooks)Familiar with a variety of modelling approaches, tools and model repositoriesExperience of Data Catalogue tools (e.g. Collibra, Informatica)Strong knowledge of master data managementKnowledge of Business Objects, Tableau etcKnowledge and/or experience with service-oriented architecture entities and frameworksKnowledge of database performance/tuning/measurement, as well as user access and data manipulationData warehousing, including business line and enterprise data warehouses, operational data stores, and business intelligence data structuresExperience in Conceptual, Logical, and Physical Data Model designStrong knowledge of entity relationshipsHands on skills in SQL, Python, AWS & Azure infrastructures, Alteryx & TableauStrong knowledge of SQL, C#, SOA and web servicesDocumented experience (at least 2 years) with ETL in the context of data warehousesKnowledge of Big Data environments (Hadoop & PhP)Seeing the Big PictureHas strong expertise and experience in data analytics, data visualization, machine learning and predictive modellingDefines policies, procedures and models for data collection, storage, structure, access, manipulation, access and visualizationDefines technologies and tools used at various stages of data driven solution creation, maintenance and operationUnderstands and connects business and technology aspects of data and its usagesExpertise and experience to translate data related business requirements into technology solutionsDeep expertise of various form of databases – RDBMSs, MongoDB, Cassandra, Hadoop, Spark etc. and database query l