Principal Data & AI

Job Description Roles & Responsibilities Architecture: Evolve the cloud data architecture to support real-time analytics and ML/AI use cases. Engineering: Maintain robust ETL/ELT pipelines (dbt, Python, SQL) and implement sophisticated web scraping solutions. AI Enablement: Partner with Data Scientists to move LLM experiments into production-grade feature stores and agents. Governance: Enforce data quality and security (IAM, encryption, auditing) across the platform. Desired Candidate Profile 10 12 years of total experience in Data Engineering/Architecture. (with 3 4 years of experience in a supervisory or lead role, with a proven ability to hire and grow teams) Strong expertise in SAP HANA / SAP HANA Cloud (HANA modeling, Calculation Views, SDI/SDA). Deep, hands-on experience with BOTH Snowflake AND Databricks, alongside a strong proficiency in AWS or Azure. Proven experience building and implementing LLM-based solutions, Generative AI, and intelligent agents. Experience hiring, mentoring, and developing world-class data engineering talent. Experience communicating directly with the CEO and key stakeholders. (You can explain complex technical roadmaps to non-technical executives with clarity and confidence) Holds a Bachelor s or Master s degree in Computer Science, Math, Statistics, or a related field. Company Industry RecruitmentPlacement FirmExecutive Search Department / Functional Area IT Software Keywords Principal Data & AI Get real-time job updates only on our App