Senior Data Technical Lead

Quality Ai; India; On-site; INR 3,000,000 - 5,600,000; Full time

Job summary

Quality Ai in India is seeking a Senior Data Technical Lead to drive enterprise analytics in a Microsoft-first and Databricks environment. You will translate business needs into scalable data solutions, prototype, review code and architecture, and guide delivery teams to successful outcomes.

You will lead by example on Azure Databricks, Data Factory, Power BI, and governance, ensuring security, performance, and operational readiness across internal and supplier teams.

Qualifications

• 10+ years in data/engineering with 5+ years in a senior lead role.
• Strong hands-on Azure and Fabric data platform experience including Databricks, Data Factory, data lakes, SQL, Python.
• Proven leadership in solution design, prototyping, code reviews, and architecture reviews.
• Experience with governance, security, deployment discipline, and operational readiness.
• Experience in complex enterprise environments with multiple stakeholders and suppliers.

Responsibilities

• Own end-to-end technical delivery for analytics and data solutions from design to production support.
• Provide hands-on leadership in Power BI and Azure data engineering, including reviews and troubleshooting.
• Translate requirements into technical solutions, validate estimates, and manage delivery risk.
• Establish and enforce standards for semantic models, pipelines, testing, and documentation.
• Ensure security, governance, and maintainability across internal and supplier teams.

Skills

Data engineering

Azure Databricks

Azure Data Factory

SQL

Python

ETL/ELT

Code reviews

Architecture reviews

Governance

Security

Education

Bachelor's in CS/IS/Engineering

Tools

Azure Databricks

Azure Data Factory

SQL

Python

Power BI

Git

Azure DevOps

CI/CD

Microsoft Fabric

Data Lake

Job description

Senior Data Technical Lead

This role leads the technical delivery of enterprise analytics and data solutions in a Microsoft first & Databricks environment. The position is accountable for turning business requirements into scalable, secure, supportable solutions across Databricks and Azure-based data platforms, while setting a high engineering bar through direct hands‑on contribution. The successful candidate will lead by example through solution design, prototyping, code and architecture reviews, technical troubleshooting, delivery guidance, and enforcement of engineering, governance, security, and operational standards across internal and supplier delivery teams.

Key Responsibilities

• Own end-to-end technical delivery for analytics and data solutions, from solution shaping and design through implementation, deployment, and production support.
• Provide strong hands‑on leadership in Power BI and Azure data engineering, including prototyping, architecture reviews, code reviews, troubleshooting, performance optimization, and implementation guidance.
• Translate business requirements into practical technical solutions, define implementation approaches, validate estimates and dependencies, and actively manage delivery risk.
• Establish and enforce engineering standards for semantic models, reporting, data pipelines, testing, deployment, monitoring, documentation, and support readiness.
• Ensure solutions meet enterprise expectations for security, access control, data governance, quality, compliance, scalability, and maintainability.
• Guide and challenge delivery teams and suppliers, identify technical debt and quality issues early, and drive remediation to achieve reliable delivery outcomes.

Must Have

• 10+ years of experience in data, engineering, including 5+ years in a senior technical lead role with direct accountability for architecture quality and delivery outcomes.
• Strong hands‑on experience with Microsoft Azure and Microsoft Fabric data platforms, including Azure Databricks, Azure Data Factory, data lake patterns, SQL, Python, ETL/ELT design, orchestration, monitoring, and production support.
• Proven ability to lead by example through solution design, prototyping, implementation support, code review, architecture review, defect triage, and technical problem solving.
• Strong experience with enterprise governance, security, and supportability requirements, including access control, auditability, deployment discipline, documentation, and operational readiness.
• Experience working in complex enterprise environments with multiple stakeholders, distributed delivery teams, and external suppliers.
• Bachelor's degree in computer science, Information Systems, Engineering, or a related field, or equivalent practical experience.

Nice to Have

• Experience in regulated industries such as life sciences, healthcare, or other compliance-heavy environments.
• Expert-level hands‑on experience with Power BI, SQL, and Python, including semantic modeling, DAX, Power Query, data analysis, automation, workspace and dataset governance, row‑level security, deployment, and performance tuning.
• Hands‑on experience with Microsoft Fabric, Azure AI services, or analytics modernization initiatives in a Microsoft-first ecosystem.
• Relevant Microsoft certifications in Power BI, Azure Data Engineering, Azure Architecture, or Fabric.
• Experience supporting supplier screening, technical interviews, or quality assurance of vendor-delivered work.

Key Skills

• Strong technical judgment and the ability to turn business needs into practical, supportable solution designs.
• Excellent troubleshooting, root‑cause analysis, and performance optimization capability across reporting and data platforms.
• Strong communication and stakeholder management skills, with the ability to challenge constructively and drive technical decisions.
• Delivery discipline, including planning, estimation, risk management, and quality control in enterprise environments.

Core Technology Stack

• Microsoft Azure and Microsoft Fabric data platform services, primarily Azure Databricks, Azure Data Factory, Azure Data Lake, SQL, Python, and related orchestration, monitoring, and engineering capabilities.
• Version control and delivery tooling such as Git, Azure DevOps, and CI/CD practice for analytics and data solutions.
• Power BI Desktop and Power BI Service, together with SQL and Python, including DAX, Power Query, semantic models, workspace governance, deployment, automation, and performance optimization.
• Governance and security practices relevant to Microsoft enterprise environments, including identity, access control, data protection, and operational support.