Proficient in Data Governance practices and experience.3+ years’ knowledge of Azure Data & Storage, Azure Data Bricks/ Apache Spark.Experience in Agile development methodologies.5+ years’ experience integrating data from disparate sources.Candidate must have experience with designing Data Warehouse schemas (Data Vault, 3NF model) as well as Data Mart schemas (Dimensional model) 5+ years’ experience as a Data Architect.Demonstrated passion and deep involvement with technology.

Capacity and commitment to acquiring new skills outside of the current area of expertise.Flexible in a fast-paced dynamic environment with shifting roles and responsibilities.Demonstrated ability to evaluate technology options and apply them to complex business problems.Able to communicate, use data, and build relationships to effect influence.Effective interpersonal skills and collaborative style.Broad understanding of information technology topics.Ability to work under indirect supervision.Excellent Analytical and problem-solving skills.Excellent oral and written communication.Define the data shared across the enterprise and the relationships between those data.Lead, build, manage, and enhance technology capability models along a maturity and optimization framework to drive enablement of the longer-term roadmap.Drive and facilitate the discussions with business leaders to identify technology capabilities that inform current and future business objectives.Capture tactical and strategic goals to provide traceability throughout the organization.Account for possible project challenges on constraints including, risks, time, resources, and scope.Align technology strategies to key business performance metrics.Partner with other Architects to ensure consistent translation of enterprise architecture decisions to solution architects, conduct solution design reviews, and arbitrate solution design conflicts across domains.Develop technology architecture strategies based on a situational awareness of various business scenarios and motivations.Assess technology trends and direction guiding how those trends will impact organization opportunities as well as risks.Engage with senior levels of leadership (both technical and business) with clear communication, appropriate levels of context and explanation, using visual and data representations when needed, to effect decisions and direction of strategy, and bridge the gap between business and tech-speak.Important metrics for a Data Architectĭata Architects are often involved in creating and executing an organization’s overall data strategy and setting enterprise-wide quality metrics. Misconceptions about the role of a Data Architectĭata Architects are not: A lot of things! Here is a description of what separates Data Architects from Data Analysts, Data Engineers, and Data Scientists. Focuses on improving data quality, accessibility, and securityĪ Data Architect works to streamline data flows and models improve consistency, quality, accessibility, and security unify data architecture remove unnecessary costs and, optimize database activity across company needs. Works with business leaders and teams to collect and translate information requirements into data to develop data-centric solutions Adheres to architecture standardsĪ Data Architect uses industry-accepted data architecture principles and standards for modeling, stored procedures, replication, regulations, and security, among others, to meet technical and business goals. What does a Data Architect do? Provides data services for enterprise information strategy solutions The job title Data Architect is often paired with Modeler or Data Engineer. A Data Architect helps define the end use of the database, and then creates a blueprint for developing, testing, and maintaining the database. The purpose of a Data Architect is to build complex computer database systems that are accessible, useful, and secure. Information Architect, Database Architect, Business Intelligence Architect, BI Architect, Data Warehouse Architect

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