Data Solution Architect

Job description
• I cannot Offer Sponsorship for this Role, Green Card or Citizens Only * "No Vendors"

The Solution Architect, Data is a pivotal role within our Technology Team. This role serves as a leader and subject matter expert, acting as the primary technical client contact throughout all phases of an engagement.

Position Duties and Responsibilities:
• Create and present comprehensive solution documentation to keep both internal and external stakeholders informed and engaged.
• Document requirements, design architecture diagrams, architect data pipelines, and prepare data for reporting and analytics.
• Collaborate with stakeholders to translate epics, features, and user stories that reflect client and user requirements into a client’s technology solution roadmap.
• Actively participate in agile delivery by breaking work into epics and user stories, and delivering agile sprints.
• Develop and adhere to a rigorous QA process.
• Partner with analytics to identify and access data source systems for analysis and reporting.
• Design, develop, and execute technical solutions to automate data processes and increase the efficiency of analytic deliverables.
• Support data acquisition efforts from digital execution platforms both ad-hoc and at a system level where feasible.
• Develop data and analytic views to support capabilities around modeling, analysis, testing & optimization, and insight development.
• Collaborate on data acquisition and data transformation needs for analytics, personalization, and customer data platforms.
• Understand, monitor, and enhance data flows to enable reporting and insights development, including tracking data quality.
• Articulate requirements and present solutions to less-technical stakeholders.
• Maintain knowledge of technical changes impacting data availability, new technologies, privacy practices, and relevant tools.
• Work with front-end web developers to create and support back-end web solutions.
• Develop, maintain, and deploy new and existing REST APIs.

Required Qualifications & Experience:
• 5+ years of relevant data architecture and engineering experience
• Advanced proficiency across several database and analytics platforms, including MSSQL, Oracle, MongoDB, Amazon Redshift, Azure Synapse, Databricks, and PowerBI, with Databricks and PowerBI being the primary technologies for the initial focus areas.
• Experience using cloud providers and cloud native applications within Microsoft Azure, Amazon Web Services, and Google Cloud
• Understanding of back-end web development philosophies, data architecture, structured and unstructured data management, and data transformation.
• Understanding of REST API’s and related software interfaces.
• Ability to thrive in a highly collaborative, fast-paced environment where the nature of the work can be variable
• Innately curious and happy to dig in whenever called upon
• Bachelor’s degree in marketing, Communications, Business Management, Computer Science, Information Technology, etc. or equivalent work experience
• Experience leading implementations in a client-facing role
• Experience scoping medium-large complexity data architecture and engineering initiatives