Enterprise Data Architect

At Ascensus,

• Works with and across business and IT teams to ensure that all applications and interfaces that create, maintain or consume essential/critical enterprise data are catalogued and monitored.? Actively engages with key project and business initiatives to understand how in-scope data will to be shared across the Ascensus landscape and collaborates with business process and system owners to align around a common data integration model.
• Develops and maintains business data architecture standards and policies (i.e. a Strategy Document) that provides a framework for any application architecture decisions for data at Ascensus and supports any projects that will need to rely on and/or interact with (thereby ensuring that we?re always making coordinated and informed decisions).? This policy document would expect to include key data design principles for enterprise relevant data objects, system(s) of record and maintenance guidance, data integration strategies and rules of engagement, data syndication approaches, governance approaches, and security and controls guardrails.?
• Responsible for development and maintenance of enterprise Data Flow Diagrams, which are an approved set of process flow that convey how (critical) data flows throughout the enterprise ? from creation of the data, through various layers of refinement, cleansing, and transformation, to the consumption of the data within processes/systems, on reports/dashboards, and even display screens in some cases.? The Data Flow Diagram is key to documenting the overall architecture and should be the starting place for the data design and mapping activities across any project.
• Responsible for development and maintenance of Data Sharing Agreements, which are document(s) that describe the data, where it is located, who governs it, and who can access it.? The Data Sharing Agreements apply to sensitive data that needs to be restricted for use across the Ascensus landscape (internal and external). ?The data sharing agreement describes who can access the restricted data, when it is available, and how the access is accomplished.
• Partners with the Enterprise Data Strategy, Scrum, I&A and Functional teams and other federated data roles to develop and update/maintain policies, standards, business rules and guidelines to ensure that a consistent data management and governance framework is applied across the organization.? While the Data Strategy and business teams ultimately own the standards and business rules, the Enterprise Data Architect will define and drive proper data design and integrations decisions, which also need standards and business rules to ensure interoperability.
• Enables sustainable and integrated data management integrity and interoperability by ensuring that the Ascensus application architecture supports the creation, maintenance, integration, syndication, and governance of the critical enterprise and line-of-business data to support both operations and analytics.
• Coach/mentor Data Modelers and Architects within the team and across lines of business to ensure sustainability of Ascensus Data Architecture and Strategy.
• Develops and maintains a Data Application Inventory, which catalogs the critical data (data objects and data sets) that are created, consumed and syndicated across the Ascensus application landscape.
• Provides, regular visibility into progress and communicates both business perspectives and IT implications to key stakeholders to inform alignment with the Ascensus business and technology long term value/vision.
• Provides guidance to business stakeholders / project management and Scrum teams on how to best to utilize the data application landscape more effectively.
• Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always? should be visible in your actions on a day to day basis showing your support of our organizational culture.
• Assist with other tasks and projects as assigned

• N/A

• Experience with end-to-end data strategy design, development, integration and implementation
• Experience across multiple aspects of data architecture and data modeling, data design, development, and architectural governance at the enterprise level with both on-premise and cloud technologies
• Proficient in data modeling techniques (Data Flows, Conceptual, Logical, Physical, and Metamodels) and usage of complementary enabling tools
• Experience developing data architectural designs and implementing data solutions
• Experience with RDBMS, cloud databases and data warehouse solutions; Strong experience with one or more modern data lake and data warehouse solutions such as Snowflake, Azure SQL, Azure Data Lake, Cloudera and Hadoop; prior working experience with one or modern data integration, data quality and/or data governance solutions
• Experience designing and documenting Data Catalogs, Business Rules, Data lineage, usage, handling and protection, Taxonomy; knowledge and hands-on experience with Data Governance, Catalog and Metadata Management tools
• Previous experience with one or more modern CI/CD solutions inclusive of Azure DevOps, Github and Bitbucket along with one or more modern advanced analytics tools for machine learning / AI solutions for example, Spark, DataBricks, Python and R; experience with one or more modern advanced business intelligence & visualization solutions (such as PowerBI, Tableau, amongst others) a plus
• Experienced in Enterprise Data Management, Master Data Management and Data Governance principles / models
• Experience leading implementations Integration projects to develop and operationalize Data initiatives, including profiling, data stewardship and issue management workflows while managing a team. Experience with data management, data governance; ability to participate in development of resource plans and structures and influence organizational priorities
• Experience with modern data streaming solutions like Confluent Kafka, Apache Kafka, Azure Event Hub and AWS Kinesi as well as with one or modern data protection solutions
• 5-7 years of experience as a Data Architect, with multiple years at the Enterprise level
• Project management experience leveraging Agile methodologies and tools
• Strong leadership, relationship management and influencing skills
• Strong oral and written communication skills, including presentation experience
• BA/BS degree in Computer Science, Software Engineering, Data Engineering, Information Science, Data Analytics, or related technical field