Job description

About McDonald’s: One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Department Overview This opportunity is part of the Global Technology Enterprise Products & Platforms (EPP) team, focused on Enterprise Service Management (ESM) and the design of trusted, scalable, and secure data capabilities across McDonald’s global enterprise. The Sr Data Architect is a senior individual contributor responsible for defining data architecture, models, standards, integration patterns, and governance requirements that enable reliable operational reporting, analytics, automation, and data-driven decision-making. The architect collaborates with enterprise and solution architects, data engineers, product teams, cybersecurity partners, and business stakeholders to align data solutions with business outcomes and the broader technology strategy. Duties • Define current-state, transition-state, and future-state data architecture aligned with business and technology strategies. • Develop data architecture principles, standards, reference patterns, and roadmaps for enterprise platforms and products. • Evaluate data technologies and architectural approaches, documenting decisions, trade-offs, dependencies, and risks. • Create and govern conceptual, logical, and physical data models across business and technology domains. • Define canonical models, taxonomies, schemas, naming conventions, and data contracts that promote consistency and reuse. • Guide the design of operational, analytical, integration, and reporting data structures. • Define patterns for data ingestion, transformation, movement, storage, access, and interoperability across systems. • Guide architecture for batch, event-driven, API-based, and near-real-time data integration solutions. • Partner with engineering teams to ensure data platforms and pipelines are scalable, reliable, observable, and supportable. • Establish architecture requirements for data quality, metadata, lineage, retention, classification, privacy, and access controls. • Partner with governance, cybersecurity, legal, privacy, and risk stakeholders to embed applicable controls into solution designs. • Promote trusted data through authoritative-source principles, stewardship, traceability, and measurable quality standards. • Lead architecture reviews and provide technical direction for complex, cross-domain data initiatives. • Collaborate with product, analytics, data science, and engineering teams to translate business needs into durable data solutions. • Mentor architects and engineers, communicate architectural decisions to stakeholders, and contribute to architecture communities of practice. Qualifications • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Information Technology, or equivalent. • 13+ years in data architecture, data engineering, solution architecture, or related enterprise technology roles, including ownership of complex data designs. • Expertise in conceptual, logical, and physical data modeling, including relational, dimensional, and domain-oriented approaches. • Experience architecting cloud data platforms, warehouses, lakes or lakehouses, operational data stores, and integration services. • Strong knowledge of data governance, metadata, lineage, master and reference data, quality, retention, privacy, and security. • Experience with ETL/ELT, APIs, event streaming, messaging, and batch and real-time integration patterns. • Ability to define architecture standards, reference patterns, decision records, and technology roadmaps. • Working knowledge of analytics, business intelligence, AI/ML, and operational reporting. • Understanding of enterprise architecture, Agile delivery, data products, architecture governance, secure design, and technology lifecycle management. Certifications (Required / Preferred) • CIS, CSA, CIS-EM / CIS-SAM – Required • ServiceNow Certified Technical Architect (CTA) or Certified Master Architect (CMA) - Strongly preferred • ITIL v3/v4 Managing Professional - Preferred • Relevant cloud data architecture certification • Data management or governance certification, such as CDMP • Enterprise architecture certification, such as TOGAF • Relevant data platform certification McDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.

Requirements

Must-haves

Department Overview
Define current-state, transition-state, and future-state data architecture aligned with business and technology strategies.
Develop data architecture principles, standards, reference patterns, and roadmaps for enterprise platforms and products.
Evaluate data technologies and architectural approaches, documenting decisions, trade-offs, dependencies, and risks.
Create and govern conceptual, logical, and physical data models across business and technology domains.
Define canonical models, taxonomies, schemas, naming conventions, and data contracts that promote consistency and reuse.
Guide the design of operational, analytical, integration, and reporting data structures.
Define patterns for data ingestion, transformation, movement, storage, access, and interoperability across systems.
Guide architecture for batch, event-driven, API-based, and near-real-time data integration solutions.
Partner with engineering teams to ensure data platforms and pipelines are scalable, reliable, observable, and supportable.
Establish architecture requirements for data quality, metadata, lineage, retention, classification, privacy, and access controls.
Partner with governance, cybersecurity, legal, privacy, and risk stakeholders to embed applicable controls into solution designs.
Promote trusted data through authoritative-source principles, stewardship, traceability, and measurable quality standards.
Lead architecture reviews and provide technical direction for complex, cross-domain data initiatives.
Collaborate with product, analytics, data science, and engineering teams to translate business needs into durable data solutions.
Mentor architects and engineers, communicate architectural decisions to stakeholders, and contribute to architecture communities of practice.
Bachelor's degree in Computer Science, Data Engineering, Information Systems, Information Technology, or equivalent.
13+ years in data architecture, data engineering, solution architecture, or related enterprise technology roles, including ownership of complex data designs.
Expertise in conceptual, logical, and physical data modeling, including relational, dimensional, and domain-oriented approaches.
Experience architecting cloud data platforms, warehouses, lakes or lakehouses, operational data stores, and integration services.
Strong knowledge of data governance, metadata, lineage, master and reference data, quality, retention, privacy, and security.

Nice-to-haves

Certifications (Required / Preferred)
ServiceNow Certified Technical Architect (CTA) or Certified Master Architect (CMA) - Strongly preferred
ITIL v3/v4 Managing Professional - Preferred

Application prep

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Keywords to mirror

aiapimlagile

Platform: career-feeds
Effort: medium