Hybrid Data Architect — Cloud Modernization & AI

Segra; Lincoln (NE); Hybrid; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) match

FSA/HSA

Job summary

Segra is seeking an Enterprise Data Architect for a full-time, hybrid role based in Lincoln, NE. The successful candidate will design and implement Segra's data strategy, modernize data environments, and enable advanced analytics, AI, and BI capabilities.

Required qualifications include 8+ years in data architecture or related fields, 5+ years leading modernization initiatives, strong SQL and cloud data platform experience, and a relevant Bachelor's degree.

Qualifications

• 8+ years in data architecture or enterprise architecture.
• 5+ years leading enterprise-scale data modernization initiatives.
• Experience designing and implementing cloud-based data platforms.
• Strong knowledge of data warehousing, data lakes/lakehouses, data integration patterns, data modeling, MDM, metadata management, and data governance.
• Experience with SQL and modern data engineering technologies.
• Ability to translate business requirements into scalable technical solutions.

Responsibilities

• Design and implement enterprise data strategies.
• Modernize data environments to be scalable and cloud-enabled.
• Enable advanced analytics, AI, and business intelligence capabilities.

Skills

8+ years in data architecture/EA

5+ years data modernization leadership

Cloud-based data platforms design/impl

Data warehousing / lakes / lakehouses

Data integration patterns

Data modeling methodologies

MDM / metadata management / data治理

SQL and modern data eng technologies

Translate business needs into scalable

Education

Bachelor's degree in Information Systems or Computer Science

Tools

Microsoft Fabric

Azure Data Services

Databricks

Snowflake

Job description

Segra is seeking an Enterprise Data Architect for a full-time, hybrid role based in Lincoln, NE. The successful candidate will design and implement Segra's data strategy, modernize data environments, and enable advanced analytics, AI, and BI capabilities.

Required qualifications include 8+ years in data architecture or related fields, 5+ years leading modernization initiatives, strong SQL and cloud data platform experience, and a relevant Bachelor's degree.