What are the responsibilities and job description for the Domain Data Architect position at Allspring Careers?
Description:
Allspring is seeking a Domain Data Architect in Allspring Engineering and Technology (AllspringET). The Domain Data Architect (DDA) will spearhead the creation of a rich representation of the entire business domain that powers everything from ESG, through investments, to our client engagement and all the workflows in between. Our data is a differentiator in our investment philosophy. The DDA will define the platform to capture the taxonomy, ownership, definitions, relationships, sources, and pioneer the design of a governance process for its continual improvement.
The DDA will partner with our Operational Data teams to form a clean lineage for the entire data-sphere.
The DDA will play a leadership role in the engineering design of services that bring the domain model to life to help developers deliver faster, with more accuracy, and reduce duplication through increased data re-use.
The DDA is an integral role to the effectiveness and efficiency of the entire engineering team.
The successful candidate will:
- Operate as technical and data thought leader
- Provide vision, direction and expertise to leadership on capturing the rich data ecosystem in a way that standardizes how we reference our data
- Promote designs with application and platform security in mind
- Influence the creation of a working toolchain to power Domain Driven Design approaches for automated service generation
- Act as a “go to” expert for Engineering team members, enabling and supporting the adoption of the domain data model
- Act as a “go to” expert for partners across the firm to build out the entire data model and drive consistency in a unified taxonomy for the firm
- Demonstrate a highly tuned focus on testing and testability
- Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
- Be in-tune with industry trends to accelerate progress, and actively promote innovative solutions to our challenges
- Communicate best practices frequently to the entire Engineering team
- Engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Qualifications
- Extensive data modelling experience and understanding of financial instruments
- Multiple software project experience as a thought-leader or solutions architect in a global team, or global organization
- Demonstrable expertise in finance industry, or relevant equivalent
- Passion for ESG and its value to the investment process
- Proven experience driving projects to production and on-going evolution
- Expertise in Google ProtocolBuffers, JSON, Restful service design, API design
- Hands-on expertise using MS SQL Server and/or AWS datastores
- Rich understanding of relational, document, and graph data stores
- Experience in the open-source industry and connections to leverage
- Experience with Data Dictionary tools and Data modelling tools
- Understanding of source code repository tools based on Git
Other Desired Qualifications
- Experience with Agile application development, preferably Scrum
- Designing for testability first, and test automation tools like Selenium
- Strong verbal and written communication skills
- Ability to interact confidently with counterparts at all levels within the firm
- Experience with Python, Pandas and other analytical libraries