Data Architect

Granicus is the leading provider of citizen engagement technologies and services for the public sector, bringing governments closer to the people they serve with the first-and-only Civic Engagement Platform. Granicus works with more than 5,500 government organizations and connects more than 280 million people in the largest Citizen Subscriber Network of its kind.

**What your impact will look like here**:

- Responsible for analyzing and translating strategic plans/needs and industry trends to map out how information should function and flow to support business and determine capability gaps. Develop and expand capability strategy by internal development of the existing constructs and platforms as needed. Provide guidance around data analysis to support the business and data strategy. Partner with IT in developing an IT framework/data product. Provide vision to project teams, resolving cross domain functional issues and aligning project work to the vision/functional designs provided.
- Carries out the most complex initiatives involving multiple disciplines and/or ambiguous issues. Consistently displays a balanced, cross-functional perspective, liaising with the rest of the business to improve efficiency, effectiveness, and productivity of information solutions. Highly flexible and adaptable to change
- Surfacing information priority: Assessing the benefits and the risks of information planned to be used in key initiatives to help steer the project teams in the right direction
- Enhancing decision making: Provide the organization with a future-state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies.
- Influencing data / information strategy: By partnering with business unit leadership, and through the rationalization of the information value chain, the information architect will provide strategic, information-based recommendations to protect the organization from disruptions while also embracing innovation.
- Governing data more effectively: Working with Data Governance suggesting who can take what actions, with what information, and under what circumstances. Assist the Enterprise Data Group in developing governance processes and structures.
- Creating more value from data: Exploring the impact of business strategy changes on information management practices. Investigating ways to extract additional value from existing information assets.
- Data modelling: Creating and managing conceptual and logical data models as needed.
- Improving performance: Championing efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration / data mesh, and related information management or information infrastructure components.
- Carries out the most complex initiatives involving multiple disciplines and/or ambiguous issues.
- Consistently displays a balanced, cross-functional perspective, liaising with the rest of the business to improve efficiency, effectiveness, and productivity.
- Work with enterprise architecture, DBA, DevOps, and software engineering teams
- Demonstrate the ability to work well with others and be respected as a leader despite non-management role.
- Be an excellent communicator and collaborator across multiple technical and business stakeholders and leaders.

**You will love this job if you have**:

- 5+ years’ experience in data architecture, data pipelines, data quality, and modern data lakes
- Expert experience with AWS data services
- Expert experience with Oracle
- Intermediate level experience working with unstructured data
- Demonstrated proficiency in designing security solutions that align to the NIST (preferred)
- Expert modernizing data technology and information architecture on cloud
- Intermediate level experience with exposure and understanding of advanced analytics techniques using ML and AI
- Expert hands-on experience with data technologies on cloud
- Beginner/Intermediate level experience with MDM, BI, and data mesh design and implementation techniques.
- Beginner/Intermediate level of experience with AWS Glue and data brew
- Beginner/Intermediate level experience with serverless architecture
- Beginner/Intermediate experience with design of event driven data architecture and EventBridge
- Beginner/Intermediate level experience with social sentiment data analysis and recommendation engines
- Expert experience of designing and implementing information solutions.
- Expert experience business domain, data/content and process understanding
- Expert experience in data-modelling and information classification expertise at the enterprise level.
- Expert experience understanding of common information architecture frameworks and information models.
- Intermediate knowledge of problem analysis, structured analysis and design, and programming techniques.
- Stro