Sr Data Architect
The Sr Data Architect is responsible for working directly with system architects and business owners from various portfolios to architect, design, and build data solutions across disciplines including, but not limited to, master data management, data integration, and data warehouse adoption to support business use cases and the needs of stakeholders. This person will facilitate and participate in long and short-term information management projects that align business and IT strategy to improve data governance and data management capabilities. Participate in the design of enterprise initiatives and provide guidance to project teams. Consult on the design of multiple projects across multiple disciplines and domains.
Responsibilities:
- Create and execute an enterprise data architecture strategy.
- Work directly with the application functional owners to understand their business needs and identify where information management solutions are viable. Documenting solutions from both a technical and business perspective is an important function of this role.
- Investigate and promote relevant and innovative technologies both independently and by management request. Formulate recommendations and implementation plans.
- Create policies, standards, and guidelines that guide the design of technology solutions.
- Research and stay up to date on technology trends and evolving partner ecosystem interactions relevant to areas of discipline.
- Provide clear thought leadership and input on key technology selection decisions (to be weighed against security, sustainability, user impact, etc.).
- Provide technical guidance to project teams as appropriate.
- Develop sound technical solutions to meet user requirements.
- Ensure Sidley staff stays current with technical skills for all technical track employees (developers, architects, etc.).
- Design implementation strategies for new and/or alternate technologies that will further business goals and provide competitive advantages.
- Provide leadership to bootstrap new digital products, manage vendor relationships, or lead prototype technology efforts.
- May be required to perform other duties or special projects as required.
Requirements:
- 7+ years of experience designing, building, and implementing data-centric IT transformation projects, such as Data Management, Data Warehouse, and Data Governance solutions across one or more industries.
- Understanding of public cloud offerings and how-to solution designs that are built around these technologies (AWS, Azure, Google Cloud Platform, or similar.)
- Ability to conduct data profiling, cataloging, and mapping for technical design and construction of data models and data flows.
- Experience analyzing current business practices, processes, and procedures as well as identifying future business opportunities for leveraging enterprise platforms for data, analytics and reporting.
- Ability to create logical and physical data models for various master data domains
- Previous experience in software evaluation, integration, testing and distribution.
- Previous experience breaking down business processes into technology requirements.
- Experience with Microsoft Office Applications.
- Visio architecture diagramming skills and PowerPoint presentation skills.
Nice To Haves:
- Experience in delivering cloud-based IT transformation projects
- Experience as a database administrator, data integration developer, data engineer, or data analytics developer
- Hands on experience managing with two or more data management domains (data quality, data integration, master data management, data preparation and/or analytics) utilizing cloud, hybrid, or on-premises data management platforms.