Data Architect

Role overview

Data Architect at Luxoft

The role focuses on establishing a unified data ecosystem by integrating SAP S/4HANA, SAP BW, Snowflake, dbt, Azure Data Factory (ADF), and Power BI platforms.

Responsibilities

• Drive data modernization initiatives by designing enterprise data models, semantic layers, data products, and lakehouse architectures while ensuring high standards for data governance, quality, lineage, metadata management, security, and compliance.
• Design scalable enterprise data models, semantic layers, and reusable data products to support analytics and reporting. 3.
• Lead data modernization initiatives and drive adoption of best practices for scalable and future-ready data ecosystems. 7.
• Create and maintain a consistent enterprise data model across Supply Chain, Procurement, SRM, Trade Promotion, and Clinical Development domains. 8.
• Provide architectural guidance for Snowflake, dbt, Power BI, and enterprise analytics solutions. 10.
• Drive master data management (MDM) initiatives and ensure data interoperability across enterprise platforms. 11.
• Evaluate technology options and make strategic architecture recommendations to maximize scalability, performance, and business value. 12.
• Lead enterprise-wide data transformation programs and support governance, architecture reviews, and solution roadmaps. 13.
• Support global stakeholders and collaborate across geographically distributed teams while maintaining coverage aligned with US business hours.

Required qualifications

• Skills Must have Must have 12+ years of experience in Data Architecture with strong expertise in SAP S/4HANA, SAP BW, Snowflake, dbt, Azure Data Factory (ADF), and Power BI.

Preferred qualifications and skills

• Data Architect SAP S/4HANA SAP BW / BW4HANA Snowflake dbt Azure Data Factory (ADF) Power BI Enterprise Data Modeling Data Governance Master Data Management (MDM) Data Integration Architecture Lakehouse Architecture Data Quality & Lineage Enterprise Analytics Stakeholder Management Nice to have Experience with Supplier Relationship Management (SRM), Trade Promotion Management, and Clinical Development/Life Sciences domains.
• Knowledge of Event-Driven Architecture, Microservices, and modern integration patterns is highly desirable.
• Candidates with experience supporting enterprise cloud modernization, data platform transformation, and large-scale digital transformation programs in global organizations will be preferred.

Employment details

• Location: Remote India [India]

Application details

• Experience with Data Governance, Master Data Management (MDM), Power BI, Advanced Analytics, Application Rationalization, and technology strategy initiatives such as buy-vs-build assessments will be an added advantage.

Additional role details

• Project description Lead the design and implementation of an enterprise-wide data architecture strategy for a global organization, enabling trusted, scalable, and business-ready data across Supply Chain, Procurement, Supplier Relationship Management (SRM), Trade Promotion, and Clinical Development domains.
• Collaborate closely with business stakeholders, SAP teams, analytics teams, and data engineering teams to deliver reusable, scalable, and interoperable data solutions that support enterprise analytics, self-service reporting, and strategic decision-making.
• The architect will be responsible for defining integration patterns between SAP and non-SAP applications, establishing data-sharing frameworks, and leading enterprise-wide data transformation programs to maximize business value, improve operational efficiency, and enable data-driven decision-making across multiple business functions.
• Responsibilities 1.
• Define and implement enterprise-wide data architecture strategies across SAP and cloud data platforms. 2.
• Establish and enforce data governance standards, including data quality, lineage, metadata management, security, retention, and compliance. 4.
• Architect integration frameworks between SAP and non-SAP applications, ensuring seamless data flow across enterprise systems. 5.
• Design modern cloud data platforms, including Snowflake-based architectures, Azure Data Factory pipelines, and lakehouse solutions. 6.
• Partner with business stakeholders, SAP functional teams, analytics teams, and data engineering teams to align data solutions with business objectives. 9.
• Mentor data engineers, solution architects, and analytics teams on enterprise data architecture best practices. 14.
• Ensure platform reliability, performance, and adherence to enterprise security and compliance requirements. 15.
• Proven experience designing enterprise-scale data models, data governance frameworks, integration architectures, and modern cloud data platforms.
• Strong knowledge of master data management, data quality, metadata, lineage, security, and analytics ecosystems.
• Ability to lead enterprise data transformation initiatives and collaborate with business and technology stakeholders across global programs.
• Exposure to Azure cloud services beyond ADF, DevSecOps practices, CI/CD pipelines, Infrastructure as Code (Terraform), and container platforms such as Kubernetes is preferred.
• Other Languages English: C1 Advanced Seniority Senior