Onsite role (F2F interview)
Role Description:
About the Role: We are seeking a seasoned, hands-on Lead Data & AI Solutions Architect with deep expertise in large-scale, complex data ecosystems. In this role, you will sit at the intersection of enterprise data architecture, rapid solution prototyping, and GenAI-driven analytics. You will partner directly with business stakeholders to translate strategic problems into high-performance data architectures, modernizing reporting pipelines through AI-powered interfaces.
Key Responsibilities
Data Architecture & Pipeline Engineering:
Architect, build, and optimize high-throughput, low-latency data pipelines handling large-scale and complex datasets.
Design analytical models and transformation layers utilizing Snowflake, SingleStore, and DBT.
Ensure high performance, data integrity, and cost efficiency across distributed architectures.
Business Engagement & Rapid Prototyping:
Engage directly with senior business leaders to understand strategic needs, translate ambiguity into technical roadmaps, and convert ideas into production-ready POCs rapidly.
Lead end-to-end technical delivery from discovery through architecture, implementation, and handover.
AI-Powered Reporting & Modern Analytics:
Build next-generation reporting solutions that integrate AILLMs (e.g., automated narrative generation, natural language to SQLanalytics, dynamic summarization).
Design APIs and data consumption layers to serve operational dashboards and interactive analytics applications.
Qualifications & Skillsets Must-Have:
Big Data & Data Warehousing: 8+ years of hands-on data engineeringarchitecture experience with massive, complex data sets.
Deep expertise in Snowflake strong experience with SingleStore (or high-concurrency real-time databases) highly preferred.
Modern Data Stack: Expert-level data modeling and transformation workflows using dbt and robust orchestratorspipelines.
Stakeholder & Business Interaction: Proven ability to work directly with business stakeholders, gather requirements, present technical solutions, and iterate quickly based on feedback.
AI-Enabled Analytics: Demonstrated capability in leveraging AILLM tooling to power reporting, intelligent data extraction, or conversational analytics interfaces.
Core Languages: Advanced SQL and Python.
Skills: Digital : BI Data Visualization - TableauDigi
** All submissions must have LinkedIn id of Candidate**
