Snowflake Solution Architect

Must be local to TX

Overview

As a Principal Data & AI Solutions Engineer, you will lead the design, development, and delivery of advanced data and AI solutions across cloud platforms. You will serve as a trusted advisor to clients and internal teams, driving innovation, ensuring architectural integrity, and enabling scalable, secure, and high-performing systems. This role demands deep hands-on expertise in at least one modern Cloud Data & AI platform and the ability to translate complex business needs into actionable technical strategies.

Key Responsibilities

• Client Engagement & Advisory
• Engage directly with enterprise clients to understand business goals and translate them into technical solutions.
• Serve as a strategic advisor to executive stakeholders, guiding architecture decisions and transformation roadmaps.
• Architecture & Solution Design
• Lead the design of scalable, extensible, and secure data and AI architectures using platforms such as Snowflake, Databricks, Azure, AWS, or GCP.
• Decompose future-state goals into actionable execution plans and reference architectures.
• Hands-On Technical Leadership
• Demonstrate deep hands-on expertise in at least one Cloud Data & AI platform, including environment setup, solution engineering, performance optimization, and cost management.
• Build and validate prototypes, frameworks, and accelerators to support solution delivery.
• Innovation & Reusability
• Partner with innovation teams to develop reusable assets, accelerators, and business point solutions across verticals such as Financial Services, Healthcare, Retail, and Travel & Hospitality.
• Project & Team Leadership
• Lead multiple projects simultaneously, providing technical oversight and mentoring to engineering teams.
• Ensure alignment with data governance, security, and compliance standards.
• Collaboration & Enablement
• Collaborate with product, marketing, and sales teams to support go-to-market strategies, demos, workshops, and client onboarding.

Required Skills & Experience

• 10 years of experience in Data Analytics, AI, and Cloud Architecture roles.
• Deep hands-on expertise and end-to-end solutioning experience with at least one Cloud Data & AI platform (e.g., Snowflake, Databricks, Azure Synapse, AWS Redshift, GCP BigQuery).
• Strong understanding of data warehousing, ML/AI engineering, MLOps/AIOps, ata integration and Data Governance.
• Proficiency in SQL, Python, and data engineering tools for automation and transformation.
• Experience with ETL/ELT pipelines, data modeling, and visualization tools (Power BI, Tableau, Looker).
• Proven ability to lead cross-functional teams and manage complex technical projects.
• Excellent communication skills, with the ability to present technical concepts to non-technical audiences.

Preferred Qualifications

• Experience with cloud migration and modernization initiatives.
• Familiarity with industry-specific data models and domain-driven design.
• Experience with data governance, privacy, and security frameworks.