Data Architect

Key Responsibilities include: 

• Conduct in-depth interviews with enterprise and application architects to understand the current data landscape.
• Document and analyze where firm data resides, including data sources, data flows, and data storage solutions from both structured and unstructured data sources.
•  Develop comprehensive data flow diagrams that clearly represent the movement of data across systems.
• Design conceptual and logical data architectures that illustrate the structure and organization of data within the firm and enable the implementation of intended business outcomes and re-usable, enterprise data products.
• Utilize architecture design software to produce high-quality, visually appealing diagrams.
• Provide thought leadership and expert input on projects requiring extensive data requirements gathering, data modeling, data integration, and testing.
• Collaborate with business clients, data owners, and product owners to anticipate future data architecture needs and to resolve challenging data taxonomy and data integration challenges.
•  Engage business and technology leaders in strategic discussions to better understand objectives that could impact data management and platform best practices, guidelines, and policies.
•  Communicate implications of architectural decisions, issues and plans to business and technology leadership.
• Provide expert knowledge of data management principles, standards, and best practices to business and technology teams.
• Work directly with vendors to understand and influence overall vendor roadmap. 
• Work with internal technology teams to define long-term data management strategy and capability roadmaps.
• Collaborate with other technology teams to define technical evaluation criteria for product and technology selection. 

Qualifications Required:

• Bachelor's degree in Computer Science, Business Administration or equivalent educational or professional experience and/or qualifications. An advanced degree is also preferred.
• Minimum of 10 years of in-depth experience in Data Lifecycle Management, solutions design, and delivery of enterprise level data platform solutions. 
• Minimum of 2 years of experience managing people/project lifecycle and delivery of mid-to-large enterprise technologies.
•  Experience working with business application owners and development teams to document and clarify business and user requirements and manage scope of defined data requirements during project lifecycle.
• Proficiency in architecture design software such as Microsoft Visio, Lucidchart, Erwin Data Modeler, or similar tools, as well as strong PowerPoint skills.
• Technical experience in modern data platform concepts like lakehouse architecture, delta lake, data fabric, AI/ML.
• Experience with Microsoft 365 (e.g. Teams, OneDrive, SharePoint) unstructured/transient data storage and governance (accuracy, classification, access controls, data security and protection)
•  Experience designing conceptual and logical data models that enable the implementation of intended business outcomes and re-usable, enterprise data products.
• Strong analytical abilities, presentation skills, and organizational/planning abilities.
• Ability to adjust communications to both technical and non-technical audiences.
•  Experience working directly with clients and providing consultation.

Preferred: 

• Strong knowledge of Cloud Hyperscalers Infrastructure/Services
• Strong knowledge in AI/ML data readiness
• Strong experience in big data technologies like Databricks, Azure Data Lake, Delta Lake, Snowflake, etc.
• Strong experience in Microsoft 365 landscape (Microsoft Teams, OneDrive, Sharepoint)
•  Strong experience in Relational and NoSQL databases (SQL Server / CosmosDB / MongoDB etc.)
• Experience in implementing quality guidelines, standards, and procedures.
• Experience with data integration tools like Informatica, Azure Data Factory, AWS Glue, etc.  
• Experience with visualizations tools like Tableau, PowerBI, QlikSense, etc.
• Ability to understand and relate to business objectives and as a result provide a high-quality automated solution.
• Ability to drive teams to meet consensus and have vivid passion for applications delivery.
•  Strong project management and team management skills.
• Creative - able to think outside the box; uses knowledge gained through prior experience, education, and training to resolve issues and remove project barriers.
• Drive for results - maintains constant awareness of projects and clients; keeps product owners focused on short- and long-term milestones.
• Experience interfacing with external software design and development vendors preferred.   
• Ability to travel minimally required, up to 10%.