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Technical Lead - BI

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Lead technical design of enterprise data solutions on Microsoft Fabric

  • Design data integration patterns across SAP and non-SAP sources

  • Define reusable enterprise data products with owners, quality and refresh rules

  • Drive medallion data modeling across Bronze, Silver and Gold layers

  • Set engineering standards and lead technical solution reviews

From the employer’s posting
Lead technical design and enterprise data solutions using Microsoft Fabric
Design data integration patterns across SAP and non-SAP enterprise sources
Establish clear definitions for data products, including business meaning, ownership
Drive conceptual, logical, and physical data modeling in medallion
Establish and enforce engineering standards for performance, scalability
Apply at Medline

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 6 and day 54.

At Medline, jobs usually come down by about day 33.

From 11,069 similar postings that came down, and 44 of Medline’s. Coming down is not always a hire.

Medline is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Azure
  • Databricks
  • SAP
  • Spark
  • PySpark
Where the posting names them
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.
- 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.
- 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.
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
- 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.
- 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.
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. Click here to learn more about a career in IT at Medline!

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About Medline

People
About 45,000 in 2025.Annual report (SEC Form 10-K)
Company
Listed as MDLN.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.


Click here to learn more about a career in IT at Medline!

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 a more comprehensive list of our benefits please click here. 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. Explore our Belonging page here.

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 local laws.

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