Enterprise Data Architect – Azure & Lakehouse Platforms

Description

We are looking for an Enterprise Data Architect – Azure & Lakehouse Platforms to design and evolve the enterprise data architecture aligned with business and technology strategy. This role will define Azure-based lakehouse architecture, lead modernization initiatives, and establish enterprise standards for data governance, modeling, integration, and analytics.

The ideal candidate has deep expertise in Azure data platforms, enterprise ERP/CRM integrations, and scalable data architectures that support operational reporting, analytics, and AI/ML initiatives.

• Design and maintain the enterprise data architecture aligned with business objectives and technical strategy.
• Define and implement Azure-based lakehouse architecture including ingestion, storage, transformation, modeling, governance, and consumption layers.
• Establish reference architectures, standards, and best practices for data integration, analytics, and reporting.
• Lead enterprise data modernization initiatives and long-term platform evolution.
• Architect and optimize data integrations across Net Suite, SAP, Salesforce, internal systems, and third‑party data sources.
• Design scalable and reliable data pipelines using Azure services, Fabric, Snowflake, Delta Lake, Databricks, or equivalent technologies.
• Develop conceptual, logical, and physical data models across enterprise domains.
• Lead Master Data Management (MDM), metadata management, data cataloging, and lineage initiatives.
• Establish enterprise data quality frameworks, validation standards, and governance controls.
• Partner with Security and Compliance teams to ensure privacy, protection, and regulatory adherence.
• Translate business requirements into scalable and maintainable data designs.
• Mentor data engineers and analysts, promoting architectural excellence across the organization.

• 7–12+ years of experience in data architecture, data engineering, or enterprise architecture roles.
• Deep expertise in Azure analytics stack (Data Lake, Azure Synapse/Fabric, Snowflake, Delta Lake, Databricks, etc.).
• Strong understanding of ERP and CRM data flows, particularly Net Suite, SAP, and Salesforce.
• Experience designing enterprise data lakes, data warehouses, and lakehouse architectures.
• Advanced data modeling expertise (conceptual, logical, and physical).
• Strong knowledge of MDM, metadata management, lineage, and governance frameworks.
• Experience with modern ETL/ELT patterns and enterprise integration tools.
• Strong SQL skills and experience with distributed compute frameworks (Spark preferred).
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
• Travel may be required up to 10%, depending on business needs.

• Experience designing AI/ML data architectures on Azure or Databricks.
• Background supporting finance, operations, manufacturing, or ERP‑driven environments.
• Experience with API‑based and event‑driven data integrations.
• Relevant certifications such as Azure Solutions Architect, Azure Data Engineer, TOGAF, or Salesforce/Azure integration certifications.
• Solar Industry experience (Renewable).

Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world´s largest and most recognized photovoltaic manufacturers for its high‑performance, high‑quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology & Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long‑term partnerships to its customers in the utility, commercial, government, and residential markets.

Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.

The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job’s minimum qualifications.

* This target salary range is for CA positions only and should not be interpreted as an offer of compensation.

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