Lead the design and implementation of a modern enterprise analytics platform
Define the organization’s target-state data architecture, establish scalable data pipelines and reporting frameworks
Create foundational standards that enable reliable, self-service analytics across the business
Simplify a complex data landscape, optimizing tooling and costs
Build a scalable Lakehouse-style architecture supporting both operational and analytical reporting
Collaborate closely with engineering teams and business stakeholders

Requirements

Bachelor’s degree in Computer Science, Engineering, or related discipline
7–10+ years of experience in software architecture with strong focus on enterprise data and analytics platforms
Proven experience designing and implementing modern data architectures, including ETL/ELT pipelines, data warehousing, and Lakehouse / medallion patterns
Strong data modeling expertise across both operational (normalized) and analytical (dimensional / star schema) models
Experience building semantic layers and enabling self-service reporting, preferably with Power BI
Hands-on experience with enterprise data platforms such as Microsoft Fabric, AWS data services, or equivalent
Experience implementing data governance frameworks, including data quality, lineage, cataloging, and stewardship
Excellent communication skills with the ability to engage both technical teams and business stakeholders
Strategic mindset with the ability to design scalable, long-term analytics solutions aligned to business decision-making

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architectureETLELTdata warehousingLakehouse architecturedata modelingsemantic layersself-service reportingdata governancedata quality

Soft Skills

communicationcollaborationstrategic mindset

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering