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Requirements & Value Delivery: Collaborate with business stakeholders to translate needs into clear technical specifications, ensuring solutions deliver measurable value and are scalable for future growth
Architecture & Design: Define end-to-end target architectures (lakehouse, semantic layer, APIs, front end) and produce high- and low-level designs with non-functional requirements
Data Engineering Leadership: Provide hands-on technical leadership over data pipelines and platforms (SQL, Python, Spark), including ETL/ELT orchestration, data quality, reliability, and analytics/AI-ready data models
Web Application Oversight: Own the overall architecture and delivery quality of web applications, ensuring robust end-to-end solutions even without daily coding
Requirements:
Extensive architecture experience: 7–10+ years in solution/enterprise architecture across data and web platforms
Strong data engineering expertise: Hands-on experience with SQL, Python, Spark, and designing scalable, production-grade data pipelines and analytics-ready data models
Business-to-technology translation: Proven ability to convert business requirements into secure, scalable data structures with strong engineering and deployment controls
Cloud & delivery proficiency: Demonstrated experience delivering on cloud platforms (Azure preferred), including CI/CD, automated testing, and production readiness