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Data Architect

Vadodara
GJ

At Fluor, we are proud to design and build projects and careers. We are committed to fostering a welcoming and collaborative work environment that encourages big-picture thinking, brings out the best in our employees, and helps us develop innovative solutions that contribute to building a better world together. If this sounds like a culture you would like to work in, you’re invited to apply for this role.

Job Description

The Data Architect will design, govern, and optimize enterprise data solutions supporting engineering, procurement, construction, project controls, and other Engineering, Procurement and Construction (EPC) functions. The role focuses on building robust data models, defining integration patterns, and ensuring high quality data flows from SAP (ECC/S/4HANA, BW and SAP Analytics Cloud (SAC)) and engineering systems into enterprise data platforms such as data warehouses and data lakes.

 

Key Responsibilities

  • Develop and maintain conceptual, logical, and physical data models for core EPC business areas.
  • Lead end-to-end data architecture across engineering systems, SAP (ECC/S4HANA), and SAP BW into enterprise data platforms using appropriate Change Date Capture (CDC) extraction methods.
  • Establish standards and patterns for data warehousing, data lakes/lakehouses, and operational data stores.
  • Translate business requirements into scalable, maintainable data architecture solutions.
  • Design and guide Extraction, Transform and Load (ETL) / Extraction, Load, and Transform (ELT) pipelines ensuring quality, lineage, performance, and reliability for structured and semi structured data.
  • Define and implement batch, near real time, and CDC based integration patterns across enterprise applications
  • Enforce data governance including data standards, master/reference models, naming conventions, metadata, and documentation.
  • Ensure data architectures comply with security, privacy, and regulatory standards.
  • Review and validate technical designs from data engineering and BI teams for alignment with architectural and SAP integration guidelines.
  • Lead troubleshooting of complex integration and pipeline issues, driving root cause resolution.
  • Contribute to the data & analytics technology roadmap and evaluate emerging tools and cloud capabilities.
  • Mentor junior team members in data modeling and SAP integration best practices.
  • Integrate GenAI tools (Azure OpenAI, Microsoft Copilot, Databricks GenAI capabilities) into data ingestion, documentation, and governance workflows.
  • Partner with data scientists to operationalize ML models, feature stores, and AI[1]driven predictive analytics within enterprise data platforms.

Basic Job Requirements

  • Bachelor’s degree in Computer Science, IT, Engineering, or related field.
  • 8–12 years in data engineering/warehousing/analytics, including 5+ years as a Data Architect.
  • Deep expertise in conceptual, logical, and physical data modeling (relational and dimensional).
  • Hands-on experience extracting and integrating data from SAP ECC/S4HANA into data warehouses or data lakes.
  • Practical knowledge of CDC patterns for incremental loads.
  • Familiarity with SAP BW structures and integration into enterprise analytics and S/4HANA Analytics Cloud (SAC).
  • Experience with legacy BDC –based or similar SAP data upload/extraction techniques.
  • Strong SQL skills and experience with at least one major cloud platform (Azure preferred).
  • Solid understanding of ETL/ELT design and pipeline optimization.
  • Excellent communication skills for both technical and non-technical audiences

Other Job Requirements

Preferred Qualifications

  • Experience in EPC, engineering, energy, chemicals, life science and advanced technologies or similar industrial sectors.
  • Hands-on experience with Azure data services (Azure Synapse, Azure Data Factory (ADF), Databricks, SnowFlake, Azure Data Lake Storage (ADLS)).
  • Familiarity with SAP integration technologies (IDocs, BAPIs, OData, SAP connectors).
  • Exposure to data governance and metadata tools (Purview, Collibra, Informatica, Alation).
  • Understanding of Master Data Management (MDM) for key enterprise domains (customers, vendors, materials, assets, projects).
  • Experience with analytics tools like Power BI or Tableau.
  • Experience working with global, multi-location teams.

To be Considered Candidates:
Must be authorized to work in the country where the position is located.

We are an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, age, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by governing law.
Job Req. ID:  4978

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