Data Architect and Solutioning Lead

Client is seeking an accomplished Principal Data Architect and Solutioning Leader to consult, design, and lead complex Data and Analytics engagements leveraging cutting-edge Data, BI, AI, and GenAI technologies (e.g., Databricks, Azure AI services, Microsoft Fabric). This high-visibility role requires deep expertise in modern data architecture, understanding the process right from ingestion and transformation, through data modeling, to consumption (Reporting, AI, APIs, etc.). The successful candidate will be the subject matter expert and technical leader driving in-flight engagements. Crucially, this leader will also be responsible for establishing architectural standards, data governance best practices, and technical roadmaps across all data initiatives, as well as being able to mine new opportunities and lead the RFP solutioning end-to-end (Technical solutioning, Estimation, Slideware creation, and customer presentations). Key Responsibilities 1. Technical Leadership • Serve as the technical leader for projects, defining the end-to-end technical solution utilizing technologies like Databricks, Microsoft Fabric (including Lakehouse, Data Engineering, and Data Factory workloads), and leading the delivery of the project/programs from the front. • Design a robust data ingestion to consumption strategy to extract data from various sources using Python/PySpark/COTS products, load it efficiently into target systems (Objectstores, Databases, etc.), and design the data models and consumption applications. • Define and enforce data standards, governance frameworks, and security best practices across the data platform and solutioning pipeline. 1. Technical Pre-Sales & Solutioning Excellence • Lead the technical pre-sales activities end-to-end for new mining opportunities. • Develop high-quality RFP proposals, including technical solutioning, effort estimations, defining clear Value Propositions, creating necessary slideware, and presenting the solution to technical and business stakeholders. • Contribute to intellectual property and reusable assets to accelerate future solutioning efforts. 1. Delivery and Team Excellence • Track and monitor project progress, proactively identifying and resolving technical challenges faced by execution teams to ensure projects run on track. • Ability to collaborate effectively with extended teams and resolve challenges around delivery. • Proactively identify risk and take the necessary measures to mitigate the situation. • Serve as a mentor and coach for junior and mid-level architects and engineers, fostering a culture of technical excellence and continuous learning. Required Qualifications & Skills • 12-15 years of progressive experience in the Data and Analytics space, with a minimum of 5+ years of technical leadership experience in leading large-scale D&A programs. • Strong experience with Databricks and/Or Microsoft Fabric (on any cloud platform) and deep understanding of Data Warehouse, Data Lake, and Lakehouse concepts. • Proven expertise in the latest AI/Gen AI technologies and their application in enterprise data architectures. • All-round experience with the end-to-end execution life cycle of D&A projects. • 5+ years of technical Pre-sales and end-to-end RFP response creation experience for mining new opportunities in an account. • Excellent communication, presentation, and leadership skills, with the ability to lead a technical project independently and engage effectively with C-level stakeholders. Preferred Qualifications & Education • A Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field is highly desirable. • Relevant industry certifications (e.g., Databricks Certified Data Engineer, Azure Data Engineer Associate, AWS Certified Data Analytics - Specialty). • Experience with Supply Chain domain or Finance Domains will be advantageous • Prior consulting experience working with external clients or across multiple lines of business. Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.