ETL/Data Architect

Benefits

Parental leave

12 weeks From the posting source

Non-birth-parent leave

12 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

$161K-$178K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

51% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

ETL/Data Architect Mettawa, IL, United States Company Description: AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description: Key Responsibilities Define & enforce development standards for ETL/Data Warehousing. Design, code, test, & document reusable objects using Snowflake & IICS. Lead full lifecycle Data Warehousing & integration projects from requirements to deployment. Collaborate with Data Engineering team to implement solutions aligned with business needs. Optimize infrastructure & reduce Data platform costs. Implement operational improvements, including processes, controls, & code reviews. Qualifications: Education & Experience Must have a Bachelor's or foreign education equivalent in Engineering, Computer Science or Biotechnology, or foreign education equivalent & 4 years of experience as a data architect or in related field. Of experience required, must have 4 years: (i) working in data integration, data warehousing, cloud-related initiatives, & development & implementation of data solutions; (ii) writing complex SQL queries; (iii) partnering with external vendors or implementation partners to optimize service delivery; (iv) working with data warehousing, data technologies, & ETL solutions; & (v) leading end-to-end data engineering & data modelling activities, including

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