Enterprise Data Architect

Remote Full-time
Company Description

AIPPY Technologies - Intelligence Behind Smart

Bridging the digital and physical worlds.

AIPPY Technologies helps organizations design and implement digital, data, IoT, and AI strategies that transform how they innovate, operate, and scale. We specialize in enabling the next generation of smart manufacturing, transportation, and infrastructure by bringing digital intelligence to the core of real‑world systems.

At AIPPY, we combine deep industry expertise with advanced technology capabilities to help organizations modernize operations, unlock real‑time insights, and build resilient, data‑driven ecosystems.

From strategy through execution, we guide our clients in adopting the platforms, architectures, and AI‑driven models needed to accelerate innovation and deliver measurable business impact—not experiments, not hype.

We don’t just build AI. We change how the business runs.

Role Description (1099s only)

Enterprise Data Architect - Consultant (AIPPY Technologies)

Overview

AIPPY Technologies is seeking a highly skilled Senior Data Architect to serve as a strategic consultant supporting enterprise data modernization and AI-driven initiatives. This role will guide data architecture, design, solution roadmaps, and best practices across cloud, data, and analytics platforms.

Key Responsibilities
• Lead the design and implementation of scalable data architectures on Microsoft Azure.
• Architect and optimize data solutions leveraging Azure Data Lake, Azure Synapse, Azure Data Factory, Azure Databricks, Microsoft Purview, and related modern data stack technologies.
• Provide technical leadership in data modeling, integration patterns, governance, and security frameworks.
• Support the development of AI/ML workloads using Azure Machine Learning, Cognitive Services, or Fabric AI capabilities.
• Partner with business and IT stakeholders to define data strategies, solution blueprints, and roadmap priorities.
• Ensure best practices around performance, reliability, and cost optimization across cloud data platforms.

Required Experience
• Master’s degree or higher in computer science, data science, artificial intelligence, or related field
• 10+ years of progressive data architecture & engineering experience
• Proven experience as an Enterprise Data Architect or similar role delivering enterprise data solutions.
• Deep expertise in Microsoft Azure data and AI technologies.
• Strong background in data warehousing, lakehouse architectures, ETL/ELT design, and real-time data pipelines.
• Solid understanding of data governance, master data management, metadata management, data catalog, data lineage, and security standards.
• Excellent communication and consulting skills to lead conversations at both technical and executive levels.
• Experience in the manufacturing domain is a significant plus

Note: This is a 1099-only position with the potential to convert to a W2 in the future

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