Data Architecture Manager | Senior Level | Full time
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.
You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.
Kemper is seeking a Data Architect to join our team. You will work as part of a distributed team and with Infrastructure, Enterprise Data Services and Application Development teams to coordinate the creation, enrichment, and movement of data throughout the enterprise. Your central responsibility as an architect will be improving the consistency, timeliness, quality, security, and delivery of data as part of Kemper's Data Governance framework. In addition, the Architect must streamline data flows and optimize cost management in a hybrid cloud environment. Your duties may include assessing architectural models and supervising data migrations across IaaS, PaaS, SaaS and on-premises systems, as well as data platform selection and onboarding of data management solutions that meet the technical and operational needs of the company.
To succeed in this role, you should know how to examine new and legacy requirements and define cost-effective patterns to be implemented by other teams. You must then be able to represent required patterns during implementation projects. The ideal candidate will have proven experience in cloud (Snowflake, AWS and Azure) architectural analysis and management.
Key Responsibilities: Define architectural standards and guidelines for data products and processes.Assess and document when and how to use existing and newly architected producers and consumers, the technologies to be used for various purposes, and models of selected entities and processes. The guidelines should encourage reuse of existing data products, as well as address issues of security, timeliness, and quality.Work with Information & Insights, Data Governance, Business Data Stewards, and Implementation teams to define standard and ad-hoc data products and data product sets.Work with Enterprise Architecture, Security, and Implementation teams to define the transformation of data products throughout hybrid cloud environments assuring that both functional and non-functional requirements are addressed. This includes the ownership, frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations.Working with Data Governance and project teams to model and map data sources, including descriptions of the business meaning of the data, its uses, its quality, the applications that maintain it and the technologies in which it is stored. Documentation of a data source must describe the semantics of the data so that the occasional subtle differences in meaning are understood.Defining integrative views of data to draw together data from across the enterprise. Some views will use data stores of extracted data and others will bring together data in near real time. Solutions must consider data currency, availability, response times and data volumes, etc.Working with modeling and storage teams to define Conceptual, Logical and Physical data views limiting technical debt as data flows through transformations.Investigating and leading participation in POCs of emerging technologies and practices.Leveraging and evolving existing [core] data products and patterns.Communicate and lead understanding of data architectural services across the enterprise.Ensure a focus on data quality by working effectively with data and system stewards.
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