Enterprise Data Architect — Healthcare Analytics & Warehousing

Baylor Scott & White Health; Lansing (MI); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Immediate health and welfare benefits

401(k) with match up to 5%

Tuition Reimbursement

PTO accrual beginning Day 1

Job summary

Baylor Scott & White Health is seeking an Enterprise Data Architect to design and deliver scalable data architectures for analytics and healthcare use cases. You will guide data conversion, migration, quality, and load performance while mentoring developers and analysts across teams.

The role emphasizes leadership in data integration and enterprise data warehouse design, with a focus on governance, optimization, and collaboration with business customers to meet complex requirements.

Qualifications

• 7+ years of experience in data integration and enterprise data warehousing
• 6+ years of database development using SQL/PLSQL and analytical functions
• 3+ years of experience in architecture and design of Enterprise Data Warehouses
• Healthcare industry experience is a plus
• Strong documentation and communication skills

Responsibilities

• Develops strategic data architecture for enterprise data warehouses used for analytics and healthcare use cases.
• Leads data integration, transformation, and data access design across the enterprise.
• Mentors developers and analysts in data architecture practices and governance.
• Ensures data quality, validation, and performance tuning of data pipelines.
• Collaborates with stakeholders to gather requirements and translate them into scalable data solutions.

Skills

SQL/PLSQL

Data modeling

Analytics

Education

Bachelor's degree

Tools

Informatica

DataStage

Oracle Data Integrator

Job description

Baylor Scott & White Health is seeking an Enterprise Data Architect to design and deliver scalable data architectures for analytics and healthcare use cases. You will guide data conversion, migration, quality, and load performance while mentoring developers and analysts across teams.

The role emphasizes leadership in data integration and enterprise data warehouse design, with a focus on governance, optimization, and collaboration with business customers to meet complex requirements.