M

Medline

Makes and delivers medical supplies to hospitals

Technical Lead - Business Intelligence

Data Management +1Confirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

  • At least 10 years of total experience, including at least 5 years of strong experience in data modeling, 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.
  • Strong technical leadership, problem-solving, communication, and stakeholder-management skills.

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, artificial intelligence, 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 and 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 the landscape.
  • Mentor engineers on data modeling and collaborate with architects, platform teams, solution teams, business stakeholders, and data owners.

Desired Qualifications

  • Experience with Microsoft Purview or comparable data governance and catalog platforms.
  • Experience with cloud technologies other than Azure.

About the Company

Medline

Makes and delivers medical supplies to hospitals

Medline makes and distributes medical and surgical supplies for hospitals, surgery centers, nursing homes, physician offices and other care sites. It runs its own factories alongside a large network of warehouses and delivery routes, so one company can produce exam gloves, gowns and surgical kits and then deliver them straight to the bedside. Many health systems sign multi-year prime vendor agreements that make Medline the source for most of their medical-surgical supplies. It earns money selling its own products and those of other manufacturers, together with supply chain services. Medline was founded in 1966 and is based in Northfield, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Northfield, IL
Founded
1966

Recently Posted Jobs

Explore more opportunities at Medline

See more jobs