Principal Engineer I - Data Engg & AI

We are looking for a strategic Data & AI leader with 10+ years of experience in the IT industry to drive enterprise Data & AI initiatives and enable business transformation. The ideal candidate should have strong expertise in modern data platforms, cloud technologies, data engineering, and emerging AI capabilities. The role involves defining technology strategies, developing scalable solution architectures, and identifying opportunities to leverage AI and data for business growth. The candidate will work closely with senior stakeholders and clients to understand business challenges and translate them into technology solutions. Responsibilities include driving Data & AI enablement, leading strategic consulting engagements, evaluating emerging technologies, and building reusable frameworks and accelerators. The role also involves contributing to presales activities, solution proposals, RFP/RFI responses, and client presentations. Strong strategic thinking, business acumen, technical leadership, and stakeholder management skills are essential. Key Skills Required Data Engineering & Architecture: Strong expertise in enterprise data engineering, data architecture, data integration, data warehousing, and modern data platforms. Cloud Technologies: Experience with cloud ecosystems such as Azure, AWS, or GCP and platforms like Snowflake, Databricks, and Microsoft Fabric. AI & Generative AI: Strong understanding of AI/ML, Generative AI, LLMs, RAG, AI agents, and enterprise AI adoption strategies. Strategic Thinking: Ability to define Data & AI strategies, technology roadmaps, and transformation initiatives aligned with business objectives. Solution Architecture: Expertise in designing scalable, secure, and cost-effective enterprise Data & AI solutions. Consulting & Client Engagement: Ability to engage with senior stakeholders, understand business challenges, and provide strategic technology recommendations. Presales & Business Development: Exposure to presales activities, RFP/RFI responses, solution proposals, estimations, and client presentations. Innovation & Enablement: Experience in developing reusable frameworks, accelerators, proof of concepts, and driving emerging technology adoption. Leadership & Stakeholder Management: Proven ability to lead technical teams, mentor architects, and collaborate with cross-functional teams. Data Governance & Security: Understanding of enterprise data governance, data quality, data security, compliance, and responsible AI practices.