Team Leadership: Build, lead, mentor, and develop the India Data & Analytics team. Recruit, interview, onboard, set technical expectations, perform code and architectural reviews, and foster an engineering culture focused on quality and ownership.
Business & Global Collaboration: Work directly with business, technology, and divisional leaders to translate requirements into scalable data solutions. Communicate technical topics to both technical and non‑technical audiences across multiple countries.
Governance, Security & Data Quality: Implement data architecture consistent with security, governance, compliance, and data‑management standards. Establish data‑quality monitoring, reconciliation, validation, lineage, and exception‑management processes.
Required Qualifications
8‑12+ years of professional experience in data engineering, data architecture, business intelligence, analytics, or related disciplines.
At least 3 years of meaningful technical leadership or engineering‑management experience.
Strong hands‑on SQL development skills, including complex queries, performance optimization, data transformation, and troubleshooting.
Significant experience designing enterprise data warehouses, lakehouses, or modern cloud data platforms.
Strong Microsoft Power BI experience (semantic models, DAX, security, performance optimization, enterprise deployment).
Experience with Microsoft Azure data technologies.
Programming or scripting experience using Python, PySpark, or similar languages.
Understanding of data architecture, data modeling, data quality, governance, security, and integration patterns.
Experience integrating multiple ERP or enterprise application platforms.
Excellent spoken and written English, strong interpersonal and presentation skills.
Preferred Qualifications
Significant hands‑on experience with Microsoft Fabric (Lakehouse, Warehouse, OneLake, Data Factory, notebooks, pipelines, semantic models).
Experience with Microsoft Dynamics 365 Finance & Operations.
Experience integrating manufacturing, supply‑chain, finance, CRM, or field‑service data.
Experience supporting enterprise analytics environments spanning multiple companies, countries, or ERP platforms.
Experience working with AI, machine learning, generative AI, or enterprise AI engineering teams.
Familiarity with APIs, event‑driven integrations, structured and unstructured data, and data services for AI applications.
Experience with Azure DevOps, Git, CI/CD, automated testing, and modern development practices.
Leadership Profile
The successful candidate will be a builder and technical leader, not simply an administrator. Must be able to solve difficult technical problems, review SQL, Python, pipeline designs, data models, or Power BI implementations, and move between detailed engineering work and enterprise architecture discussions. Must develop engineers, take ownership for delivery and technical quality, and communicate confidently with global colleagues.
Working Model
Based in Bengaluru, India with a hybrid schedule (three days per week in the office). Expect 1‑2 days per week of scheduled working‑hour overlap with U.S. leadership, with flexibility for critical projects.
