About the Role atQor is looking for a Cloud & AI Platform Lead to head our engineering vertical across Microsoft Fabric, Data Engineering, Analytics, Databricks, and AI Agents. You will own the practice end-to-end from strategy and capability building to delivery excellence, P&L; health, and pre-sales enablement.This is a senior leadership role reporting directly to the Head of Delivery. You will be the single point of accountability for everything the practice ships data ingestion pipelines, transformation frameworks, lakehouse architectures, BI and visualization solutions, and the next generation of agentic AI applications. Youll lead a team of architects, data engineers, BI developers, and AI engineers, and partner closely with Sales, Pre-sales, Practice Leads of adjacent verticals, and customers to grow the business.

What Youll Own

- Practice Strategy & Roadmap Define the multi-year vision and roadmap for atQors Cloud & AI practice spanning Microsoft Fabric, Azure Data Services, Databricks, Power BI, and AI / Agentic AI. Identify emerging technologies, evaluate platforms, and decide where atQor invests solutions, accelerators, IP, and partnerships. Build and maintain reusable assets, reference architectures, and solution accelerators that shorten time-to-value for customers.
- Capability, Capacity & Hiring Build the org design, role ladders, and skill matrix for the practice across data engineering, analytics, ML/AI, and platform engineering. Own the hiring plan; partner with Talent Acquisition to recruit, evaluate, and onboard high-caliber talent. Drive certification and upskilling programs across Fabric, Databricks, Azure Data Engineer, AI Engineer, and Microsoft AI / OpenAI tracks. Forecast capacity against the demand pipeline; balance bench, billable, and growth investment.

Delivery Quality & CSAT
- Be the single point of accountability for delivery health across all practice engagements.



Establish delivery standards, code quality gates, architecture review boards, and customer success rituals. Drive customer satisfaction (CSAT/NPS) and proactively manage escalations on critical accounts. Run delivery reviews, post-mortems, and continuous improvement cycles to reduce defects, rework, and delivery slippage.

P&L;, Utilization & Financial Health
- Own the practice P&L; revenue, gross margin, utilization, and bench cost. Drive billable utilization targets across the team; minimize unplanned bench and pyramid imbalance.

Pre-Sales & Estimation
- Own the estimation framework for the practice effort, team mix, timeline, and risk contingency. Review and approve all proposals, SOWs, and technical responses originating from the practice.

People 1:1s, Growth & Retention
- Run a strong people operating system regular 1:1s, career conversations, performance reviews, and growth plans. Build a culture of technical excellence, ownership, and customer-first thinking across the practice. Identify high-potential talent; create stretch opportunities and succession plans for key role.

Technical Scope
- The practice spans the full data and AI value chain:
- Data Ingestion: Azure Data Factory, Fabric Data Factory, Synapse Pipelines, event streaming (Event Hubs, Kafka), real-time ingestion patterns.
- Data Transformation & Storage: Microsoft Fabric (OneLake, Lakehouse, Warehouse), Databricks (Delta Lake, Unity Catalog, workflows), dbt, Spark, medallion architectures.
- Visualization & BI:



Power BI (enterprise semantic models, paginated reports, embedded), Fabric Direct Lake, Real-Time Analytics.
- AI & Agentic AI: Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, LangChain / LangGraph, RAG architectures, multi-agent orchestration, AI evaluation and guardrails.
- Governance & Platform: Microsoft Purview, Unity Catalog, security, lineage, cost management, and FinOps practices.

What You Bring Experience
- 14+ years of overall experience in data, analytics, and cloud engineering, with at least 5 6 years in a leadership / practice-head role.
- Proven track record of building and scaling a Data / AI / Cloud practice in a services or consulting environment.
- Hands-on depth in the Microsoft Data & AI stack (Fabric, Synapse, Azure Data Services, Power BI, Azure OpenAI) and Databricks.
- Demonstrated experience delivering enterprise-grade AI / GenAI / agentic AI solutions in production.
- Robust experience owning P&L;, utilization, and pre-sales for a practice of 30+ people.

Skills & Capabilities
- Deep architectural fluency across modern lakehouse, streaming, and AI architectures.
- Strong commercial acumen comfortable with estimation, pricing, margin management, and deal economics.
- Excellent customer-facing skills credible with CXOs, Chief Data Officers, and engineering VPs.
- Ability to balance technical depth with business outcomes; can switch between architecture whiteboard and P&L; review without losing context.
- Familiarity with Agile delivery, DevOps / DataOps / MLOps, and cost-optimization practices on Azure.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Cloud and AI Platform Lead (Ahmedabad)
🏢 atQor
📍 Ahmedabad