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# Data Engineering Lead Architect - Azure

- **Company:** FRACTAL LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $145,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Warehousing, Software Design Patterns, DevOps, Distributed Computing Environment, Python (Programming Language), PostgreSQL, Meta-Data Management, MongoDB, MySQL, NoSQL, Cloud Services, Data Mesh, Azure Data Lake, SAP (Applications), SAP NetWeaver Business Warehouse, SQL Databases, Enterprise Data Management, Azure Service Bus, Enterprise Software Applications, Azure Data Factory, Snowflake, Apache Spark, Data Strategy, Event Driven Architecture, Microsoft Fabric, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Cassandra, Apache Kafka, Cosmos DB, Data Management, Video Streaming, Azure Synapse Analytics, Stream Analytics, Docker, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/52838bb0-6394-435d-8777-c45423afd30b/data-engineering-lead-architect-azure

## About the Role

* 10-15 years of technology experience, including significant leadership experience in enterprise data architecture, data engineering, data platforms, data warehousing, or analytics transformation programs.
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 * Extensive experience designing and implementing cloud-native data solutions on Microsoft Azure.
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 * Hands-on expertise with Microsoft Fabric, including Lakehouse architecture, OneLake, Data Factory, Data Engineering, Data Warehousing, and Real-Time Analytics capabilities.
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 * Proven success defining enterprise architecture standards, reference architectures, design patterns, and data platform blueprints.
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 * Strong command of enterprise data governance, metadata management, master data management, data cataloging, data stewardship, and data product operating models.
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 * Expertise in data quality management, data validation frameworks, observability, lineage, monitoring, and data product certification.
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 * Experience integrating SAP master data, product hierarchies, and enterprise systems into modern cloud data platforms.
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 * Deep experience with Azure data services, including Databricks, Azure Data Lake Storage, Azure Data Factory, Event Hubs or Kafka, Synapse Analytics, Cosmos DB, and related platform services.
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 * Strong proficiency in SQL and experience with relational and NoSQL technologies such as PostgreSQL, MongoDB, Cassandra, and MySQL.
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 * Hands-on experience with distributed processing and streaming technologies, including Spark and Kafka.
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 * Expertise in Python, Spark, data modeling, and modern data engineering frameworks.
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 * Strong experience with CI/CD, DevOps, Infrastructure as Code, Docker, and Kubernetes.
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 * Excellent stakeholder management, consulting, communication, and presentation skills, with the ability to engage senior business and technology leaders.
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 * Ability to lead and collaborate with global consulting teams across multiple projects and geographies.
\n, * Experience with Microsoft Purview, enterprise data catalogs, metadata management platforms, and Master Data Management solutions.
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 * Knowledge of Data Mesh, domain-oriented data products, event-driven architecture, and real-time analytics patterns.
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 * Experience with Snowflake, SAP Datasphere, SAP BW, or adjacent enterprise data platforms.
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 * Azure or Microsoft Fabric certifications.
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 * Experience in the consumer goods industry or with product, customer, and commercial data domains.
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 * Experience establishing data product certification frameworks and governance processes at enterprise scale.
\n, * Bachelor's degree in Computer Science, Engineering, or a related technical field; a master's degree is preferred.
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 * B.E., B.Tech., M.Tech., or an equivalent combination of education and relevant professional experience.
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 * 10-15 years of relevant technology experience in data architecture, data engineering, cloud platforms, or enterprise analytics transformation.
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## Description

In this highly visible leadership role, you will define data strategy, architecture standards, and governance frameworks while driving the delivery of secure, resilient, and business-ready data products on Microsoft Azure and Microsoft Fabric. You will lead complex programs from architecture through release, partner with senior business and technology stakeholders, and mentor engineering teams to build reusable capabilities that accelerate data and analytics transformation.