Job description

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.

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