Technical Lead - BI

Medline; Pune District; Presencial; INR 3.500.000 - 6.000.000; Jornada completa

Descripción de la vacante

Medline in Pune seeks a hands-on Technical Lead - BI to guide design and delivery of scalable enterprise data solutions. You’ll work with Microsoft Fabric, SAP data integration, and data governance to distribute technical ownership and accelerate modernization efforts.

The ideal candidate brings 10+ years in data modelling/engineering/warehousing with strong SQL, PySpark, Databricks, and experience building reusable data products and MDM.

Formación

• Total experience 10+ years in data roles.
• 5+ years in Data Modelling, Data Engineering, or Data Warehousing.
• Hands-on with Microsoft Fabric and SAP integration.

Responsabilidades

• Lead technical design and enterprise data solutions.
• Define and deliver trusted data products for analytics and AI.
• Drive conceptual, logical, and physical data modeling (Bronze/Silver/Gold).
• Design data integration patterns across SAP and non-SAP sources.
• Apply MDM principles to master/reference data.
• Ensure governance, security, lineage, metadata and cataloging standards.
• Establish data product definitions, ownership, quality, and security.
• Mentor engineers on data modelling and collaborate with stakeholders.

Conocimientos

Data Modeling

Data Engineering

Data Architecture

Data Warehousing

Data governance

Security implementation

SQL

PySpark

Databricks

Medallion architecture

Herramientas

Microsoft Fabric

OneLake

Lakehouse/Warehouse

Pipelines

Notebooks

Databricks

Descripción del empleo

Job Summary

We are seeking a hands-on Technical Lead - BI to lead the design and delivery of scalable enterprise data solutions and reusable data products. The role will work closely with the existing technical leadership to augment engineering capacity and distribute technical ownership across Microsoft Fabric, SAP data integration, enterprise data modeling, modernization, and data governance and security. The ideal candidate combines strong data engineering and architecture skills with practical knowledge of MDM, data governance, cataloging, data quality, lineage, and security.

Job Description

Key Responsibilities

• Lead technical design and enterprise data solutions using Microsoft Fabric, OneLake/ADLS, Lakehouse/Warehouse, pipelines, notebooks, PySpark/SQL, and Medallion architecture.
• Define and deliver trusted, reusable enterprise data products for analytics, reporting, AI, and downstream applications.
• Drive conceptual, logical, and physical data modeling in medallion, including Bronze/Silver/Gold structures and standardized enterprise data definitions.
• Design data integration patterns across SAP and non-SAP enterprise sources, including ingestion, transformation, orchestration, reconciliation, and data-quality controls.
• Apply MDM principles to master/reference data, business keys, hierarchies, and shared enterprise entities.
• Ensure solutions follow data governance, security, privacy, lineage, metadata, cataloging, and ownership standards.
• Establish clear definitions for data products, including business meaning, ownership, source, quality expectations, refresh frequency, security classification, and consumption patterns.
• Promote reuse of enterprise data products and prevent duplicating or conflicting datasets and business definitions.
• Establish and enforce engineering standards for performance, scalability, reliability, monitoring, supportability, and maintainability.
• Lead technical solution reviews and contribute to solution design across landscape.
• Mentor engineers on Data Modelling and collaborate with architects, platform teams, solution teams, business stakeholders, and data owners.

Primary Skills & Experience

• Total Experience 10 + Years , 5 + years Strong experience in Data Modelling Data Engineering, Data Architecture, or Data Warehousing, Data governance, and Security implementation.
• Hands-on expertise with Microsoft Fabric, including OneLake, Lakehouse/Warehouse, pipelines, and notebooks.
• Advanced skills in SQL, PySpark/Spark, Databricks, data integration, data modeling, and Medallion architecture.
• Experience integrating enterprise platforms such as SAP ECC/S/4, SAP HANA and/or SAP Datasphere.
• Strong understanding of enterprise data products and Data-as-a-Product principles.
• Working knowledge of Master Data Management (MDM), reference data, and enterprise data definitions.
• Experience with data governance, cataloging, business glossary, metadata management, lineage, and data quality.
• Strong understanding of data security, access controls, sensitive-data handling, and secure data architecture.
• Experience with Microsoft Purview or comparable data governance/catalog platforms is preferred.
• Experience in cloud technologies other than Azure is welcome.
• Strong technical leadership, problem-solving, communication, and stakeholder-management skills.

What Success Looks Like

The Technical Lead will help the team move from project-specific data solutions toward standardized, secure, governed, and reusable enterprise data products , while improving engineering quality, delivery capacity, and operational reliability. Key profile: Hands-on Data Engineering + Microsoft Fabric + SAP integration + Enterprise Data Products + Data Modeling , supported by strong MDM, Governance, Cataloging, Quality and Security capabilities.

Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.

We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best.

Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or lo