Data Solutions Architect

Job Description:

We are seeking a highly skilled and experienced Senior Data Architect to join our dynamic team. The ideal candidate should possess a high level of expertise in solution architecture, business analysis, and IT management. The primary responsibilities include collaborating with cross-functional teams to design, plan, and execute advanced solutions, with a focus on creating high-level System Architecture (ARB1), drafting ITMS documents, and utilizing senior resources effectively. The alignment/integration of 2 different data model/product approaches into one... would help show the area of experience we're looking for is very much in the data area, not analytics, UI, etc.

Key Responsibilities:

• High-Level Solution Architecture: Develop and maintain high-level solution architecture that aligns with business goals and objectives. Provide strategic guidance on technology and application choices. Architecture pack for ARB1, sufficiently detailed plan/costs to go into PIP.
• Business Analysis: Conduct in-depth business analysis to understand and define the requirements of various stakeholders. Translate business needs into technical solutions that drive business success.
• ARB1 and ITMS Documentation: Draft and maintain ARB1 documentation and ITMS documents to ensure a clear understanding of architectural decisions and implementation strategies.
• Senior Resources Management: Collaborate with senior resources and lead technical teams effectively. Provide mentorship and guidance to junior team members, fostering a collaborative and innovative work environment.
• Design and Planning: Lead the design and planning of complex technical solutions. Ensure that solutions are scalable, secure, and aligned with industry best practices.
• Common Data Model: Work on projects involving the Common Data Model (CDM) to ensure consistent and standardized data across the organization. Implement data models that facilitate seamless integration and reporting.
• Technical Solution Support: Collaborate with cross-functional teams to help with the selection and implementation of appropriate technology solutions. Provide expertise in evaluating and adopting new technologies
• Leverage Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure Data factory, Azure Synapse Analytics and other Azure components to build end-to-end data solutions.
• Stay updated on the latest Azure offerings and best practices to optimize and enhance data engineering processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Solutions Architect in a senior role.
• In-depth knowledge of ARB1, ITMS documentation, and business analysis.
• Azure certifications related to data engineering and solution architect.
• Experience working with common data models and implementing scalable solutions.
• Strong leadership and communication skills.
• Ability to collaborate effectively with diverse teams and stakeholders.
• Excellent problem-solving and decision-making abilities.