Architect

Lead the design, development, and delivery of enterprise-scale data solutions.

Establish and enforce data engineering standards, development practices, and

delivery approaches.

Provide technical leadership across data ingestion, transformation, storage, and

consumption capabilities.

Lead the development of scalable batch and event-driven data pipelines.

Build reusable data products and data services that support enterprise analytics,

reporting, AI, and integration initiatives.

Implement and maintain canonical data models and shared data assets.

Develop robust data transformation and enrichment capabilities.

Drive standardization, reuse, and simplification across data assets and

engineering solutions.

Partner with the Architecture Team to implement enterprise data architecture

standards and target-state designs.

Translate architectural vision into practical engineering solutions.

Participate in architecture reviews, design governance forums, and technology

evaluations.

Ensure solutions align with enterprise integration patterns, data standards, and

canonical models.

Provide engineering feedback on future-state architecture and modernization

opportunities.

Serve as the primary engineering representative for Data Foundation solution

design and implementation decisions

Required Qualifications

Experience

10+ years of experience in data engineering, software engineering, or enterprise

data platform development.

5+ years of technical leadership experience leading engineering teams or large-

scale data initiatives.

Proven experience designing and delivering enterprise data platforms, pipelines,

and data products.

Technical Skills

Advanced SQL and data modeling expertise.

Strong Python and PySpark development experience.

Deep understanding of ETL and ELT architecture patterns.

Experience implementing Master Data Management solutions.

Experience building RESTful APIs and data services.

Familiarity with GraphQL and modern integration approaches.

Understanding of microservices-based architectures.

Experience implementing event-driven and real-time data processing solutions.

data lineage concepts.

Job Summary