Senior Data Architect, Data Engineer – AI & Data Platforms

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Zealogics Inc

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Enterprise • SaaS • Artificial Intelligence

Zealogics Inc. is a global technology company headquartered in New Jersey, specializing in IT consulting, engineering, and systems implementation. Founded in 2012, Zealogics provides a wide array of services, including software and hardware engineering, digital transformation, cloud solutions, artificial intelligence, and low-code development. The company aims to empower businesses across various industries such as semiconductor, automotive, finance, healthcare, telecom, and retail, with innovative and scalable solutions that enhance efficiency, agility, and customer experience. Zealogics partners with clients to understand their unique needs, delivering tailored solutions to achieve their business goals.

📋 Description

• Design and implement enterprise data architectures including Data Lakes, Data Warehouses, Data Fabric, and MDM solutions. • Build scalable data pipelines and data integration frameworks. • Define data governance, quality, lineage, and security standards. • Enable AI/ML initiatives through robust data engineering and architecture practices. • Collaborate with business and technology teams to develop data strategies and roadmaps. • Optimize data platforms for performance, scalability, and reliability.

🎯 Requirements

• 10+ years of experience in Data Architecture and Data Engineering. • Strong expertise in Master Data Management (MDM), Data Fabric, Data Lakes, and Enterprise Data Platforms. • Experience with cloud platforms (AWS, Azure, or GCP). • Hands-on experience with ETL/ELT, data integration, and modern data pipelines. • Knowledge of AI/ML data requirements and analytics platforms. • Experience with data governance, metadata management, and data quality frameworks. • Strong communication and stakeholder management skills. • Preferred: Experience with Databricks, Snowflake, Microsoft Fabric, Informatica MDM, Collibra, or similar platforms. • Background in AI, Generative AI, and enterprise data modernization initiatives.