Senior Data Solution Architect (AI Data Architecture)

📋 Description

• • TechTorch Solutions Inc. is seeking a highly skilled and hands-on Senior Data Solution Architect specializing in AI and Data Architecture. This pivotal role is designed for an individual passionate about building modern data foundations and enabling cutting-edge AI-driven data products for our portfolio companies within the private equity sector. You will be instrumental in bridging the gap between foundational data architecture principles and the practical deployment of AI solutions on advanced cloud data platforms. Collaborating closely with our consulting and delivery teams, you will translate intricate business requirements into robust, scalable, and production-ready data solutions that deliver tangible value and drive operational excellence for private equity-backed enterprises.
• • As a Senior Data Solution Architect, your responsibilities will encompass the end-to-end design and implementation of enterprise data architectures. This includes defining and establishing the Source of Origin (SOO), System of Record (SOR), and Common Data Model (CDM - Curated) layers, ensuring a comprehensive and well-governed data landscape. You will lead critical data architecture activities such as data modeling at conceptual, logical, and physical levels. Furthermore, you will be responsible for establishing and refining master data management, reference data strategies, metadata management, data lineage tracking, and robust governance frameworks to ensure data integrity, consistency, and compliance across the organization.
• • A significant part of your role will involve architecting and building scalable batch and real-time data pipelines and sophisticated data products. You will leverage modern data patterns, including lakehouse and data warehouse architectures, to ensure efficient data processing, storage, and accessibility. This includes hands-on work with engineering teams to ensure these solutions are production-grade, incorporating best practices in Continuous Integration/Continuous Deployment (CI/CD), security, performance optimization, and observability to guarantee reliability and maintainability.
• • You will also play a key role in architecting and supporting the end-to-end deployment of AI and Machine Learning (ML) solutions on our data platforms. This involves designing the infrastructure for feature engineering, seamless model integration, robust orchestration of ML workflows, and effective monitoring of model performance in production environments. Your expertise will guide the teams in moving beyond experimental phases to deliver impactful, production-ready AI applications that solve real business problems and create competitive advantages.
• • Partnering effectively with business stakeholders and technical teams is crucial. You will be responsible for translating complex business needs and value creation objectives, particularly those relevant to private equity, into clear, scalable, and well-documented technical designs. Your ability to communicate technical concepts to non-technical audiences and align technology solutions with strategic business goals will be paramount to success.
• • This role demands a deep understanding of cloud data platforms and a proven ability to implement solutions that are not only technically sound but also aligned with the rapid value delivery expected in PE-backed environments. You will contribute to TechTorch’s mission of redefining enterprise technology consulting by delivering innovative, AI-powered solutions that drive measurable value at speed and scale. Your work will directly impact the transformation initiatives of leading private equity-backed businesses, helping them achieve operational excellence and strategic growth through advanced data and AI capabilities.
• • The ideal candidate will possess a strong analytical and problem-solving aptitude, with a keen eye for architectural patterns and best practices. Excellent stakeholder management and communication skills are essential for bridging the gap between technical teams and business leaders. You must be adept at balancing a strategic architectural vision with the pragmatic demands of hands-on implementation. A collaborative mindset, coupled with the ability to mentor engineering teams and foster technical excellence, is highly valued. Adaptability is key, as you will be working in fast-paced PE-backed environments where rapid value delivery is a core focus. This is an opportunity to shape the future of data and AI solutions for prominent private equity firms and their portfolio companies, working alongside a world-class team.