Principal Data & AI Solutions Engineer

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. 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. Partner with innovation teams to develop reusable assets, accelerators, and business point solutions across verticals such as Financial Services, Healthcare, Retail, and Travel & Hospitality. Lead multiple projects simultaneously, providing technical oversight and mentoring to engineering teams. Ensure alignment with data governance, security, and compliance standards. 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, data 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. Seniority level

Senior Employment type

Full-time Job function

Information Technology, Consulting, and Business Development Anblicks is an equal opportunities employer and welcomes applications from diverse candidates.

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